Burger Town is a city that consists of $N$ special junctions and $N-1$ pathways. There is exactly one shortest path between each pair of junctions. Junction $\boldsymbol{i}$ is located at $(x_i,y_i)$ and the distance between two junctions $i,j$ is defined by the Taxicab geometry. 

Tim has recently afforded a taxicab to work as a taxicab driver. His vehicle was very cheap, but has a very big flaw. It can only drive $\mbox{H}$ units horizontally and $\mbox{V}$ units vertically before refueling. 

If a customer wants to be brought from a junction $\boldsymbol{i}$ to another junction $j$, then this car is only capable of driving the route, iff the sum of horizontal distances and the sum of vertical distances on this path are less than or equal to $\mbox{H}$ and $\mbox{V}$ respectively. 

Also, there is a unique path between any two junctions.  

Now he has thoughts about returning the vehicle back to the seller. But he first wants to know, if it's even worth it. That's why he wants to know the number of unordered pairs $(i,j)$ such that it is not possible to drive a customer from junction $\boldsymbol{i}$ to junction $j$. 

Input Format

On the first line you will be given $N$, $\mbox{H}$ and $\mbox{V}$ separated by a single space. 

Each of the next $N$ lines contains two space separated integers $x_i,y_i$, denoting the location of junction $\boldsymbol{i}$.
Each of the next $N-1$ lines contains two space separated integers describing a path existing between $u_{i},v_{i}$, i.e., there is a path between $u_i$ and $v_i$.  

Output Format

Output the number of unordered pairs $(i,j)$ such that it is not possible to drive from $\boldsymbol{i}$ to $j$. 

Constraints

$2\leq N\leq10^5$

$0\leq H,V\leq10^{14}$

$0\leq x_i,y_i\leq10^9$

Sample Input

3 2 1
0 0
1 1
2 0
1 2
2 3

Sample Output

1

Explanation

The car is only capable of driving $H=2$ units horizontally and $V=1$ unit vertically. The horizontal distance between junction 1 and 3(via 2) is equal to 2($\textbf{0}\to1\to2$), which fits under the horizontal limit of the car. The vertical distance between 1 and 3 is also equal to 2($\textbf{0}\to1\to0$), but this is not possible for this car since $2>V$.

Difficulty: HARD

Solutions:
from collections import namedtuple
import bisect
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, input().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, input().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, input().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


import math
import os
import random
import re
import sys
from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


import math
import os
import random
import re
import sys
from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


import math
import os
import random
import re
import sys
from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


import math
import os
import random
import re
import sys
from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


import math
import os
import random
import re
import sys
from collections import namedtuple
import bisect
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)


from collections import namedtuple
import bisect
import sys
DistTuple = namedtuple('distance', ['h', 'v'])

def insort_right(arr, dist, hv):
	x_key = dist.h if hv == 'h' else dist.v
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	arr.insert(lo, dist)

def bisect_right(arr, x_key, hv):
	lo = 0
	hi = len(arr)
	while lo < hi:
		mid = (lo + hi) // 2
		a_mid = arr[mid].h if hv == 'h' else arr[mid].v
		if x_key < a_mid:
			hi = mid
		else:
			lo = mid + 1
	return lo

class DistsGroup:

	def __init__(self):
		self.delta_h = 0
		self.delta_v = 0
		dist = DistTuple(0, 0)
		self.dists_h_sorted = [dist]
		self.dists_v_sorted = [dist]

	def append_dist(self, h, v, append=True):
		self.delta_h += h
		self.delta_v += v
		dist = DistTuple(-self.delta_h, -self.delta_v)
		if append:
			insort_right(self.dists_h_sorted, dist, 'h')
			insort_right(self.dists_v_sorted, dist, 'v')
		index_h = bisect_right(self.dists_h_sorted, H_max - self.delta_h, 'h')
		for elem in self.dists_h_sorted[index_h:]:
			self.dists_v_sorted.remove(elem)
		del self.dists_h_sorted[index_h:]
		index_v = bisect_right(self.dists_v_sorted, V_max - self.delta_v, 'v')
		for elem in self.dists_v_sorted[index_v:]:
			self.dists_h_sorted.remove(elem)
		del self.dists_v_sorted[index_v:]
		if append:
			paths_count = max(0, len(self.dists_v_sorted) - 1)
			return paths_count

	def append_group(self, other_group, h, v):
		good_cross_paths = 0
		other_group.append_dist(h, v, False)
		dists_h1 = self.dists_h_sorted
		delta_h1 = self.delta_h
		delta_v1 = self.delta_v
		dists_h2 = other_group.dists_h_sorted
		delta_h2 = other_group.delta_h
		delta_v2 = other_group.delta_v
		dists_only_v2 = []
		dist_h2_index = 0
		dist_h2_len = len(dists_h2)
		if len(dists_h1) and len(dists_h2) and (dists_h1[-1].h + delta_h1 + dists_h2[-1].h + delta_h2 < H_max) and (self.dists_v_sorted[-1].v + delta_v1 + other_group.dists_v_sorted[-1].v + delta_v2 < V_max):
			good_cross_paths += len(dists_h1) * len(dists_h2)
		else:
			for dist_h1 in reversed(dists_h1):
				rest_h = H_max - (dist_h1.h + delta_h1)
				rest_v = V_max - (dist_h1.v + delta_v1)
				while dist_h2_index < dist_h2_len:
					if dists_h2[dist_h2_index].h + delta_h2 <= rest_h:
						bisect.insort_right(dists_only_v2, dists_h2[dist_h2_index].v + delta_v2)
						dist_h2_index += 1
					else:
						break
				dist_v2_index = bisect.bisect_right(dists_only_v2, rest_v)
				good_cross_paths += dist_v2_index
		for dist_h2 in dists_h2:
			dist_new = DistTuple(dist_h2.h + delta_h2 - delta_h1, dist_h2.v + delta_v2 - delta_v1)
			self.dists_h_sorted.append(dist_new)
			self.dists_v_sorted.append(dist_new)
		self.dists_h_sorted.sort()
		self.dists_v_sorted.sort(key=lambda k: k.v)
		return good_cross_paths
good_paths = 0
(N, H_max, V_max) = map(int, sys.stdin.readline().split())
junctions = {}
for i in range(1, N + 1):
	(xi, yi) = map(int, sys.stdin.readline().rstrip().split())
	junctions[i] = {'x': xi, 'y': yi, 'edges': [], 'dists_group': None}
for i in range(1, N):
	(ui, vi) = map(int, sys.stdin.readline().rstrip().split())
	dH = abs(junctions[ui]['x'] - junctions[vi]['x'])
	dV = abs(junctions[ui]['y'] - junctions[vi]['y'])
	junctions[ui]['edges'].append({'junction_id': vi, 'dH': dH, 'dV': dV})
	junctions[vi]['edges'].append({'junction_id': ui, 'dH': dH, 'dV': dV})
one_edge_queue = []
for (key, value) in junctions.items():
	edge_count = len(junctions[key]['edges'])
	junctions[key]['edge_count'] = edge_count
	if edge_count == 1:
		one_edge_queue.append(key)
		junctions[key]['dists_group'] = DistsGroup()
while len(one_edge_queue) > 1:
	junction_id = one_edge_queue[0]
	edge_to_next = junctions[junction_id]['edges'][0]
	next_junction_id = edge_to_next['junction_id']
	if junctions[next_junction_id]['dists_group']:
		paths_added = junctions[next_junction_id]['dists_group'].append_group(junctions[junction_id]['dists_group'], edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
	else:
		dists_group = junctions[junction_id]['dists_group']
		paths_added = dists_group.append_dist(edge_to_next['dH'], edge_to_next['dV'])
		good_paths += paths_added
		junctions[next_junction_id]['dists_group'] = dists_group
	for edge in junctions[next_junction_id]['edges']:
		if edge['junction_id'] == junction_id:
			junctions[next_junction_id]['edges'].remove(edge)
			break
	if len(junctions[next_junction_id]['edges']) == 1:
		one_edge_queue.append(next_junction_id)
	one_edge_queue.remove(junction_id)
print(int(N * (N - 1) / 2) - good_paths)