Table:
2000
2007
2011
2017
change 2000 to 2017

percent
percentage points

men

new england
87.6
84.4
77.8
83.5
-4.1

middle atlantic
84.7
83.4
77.3
79.7
-5.0

east north central
87.4
83.7
76.6
81.1
-6.3

west north central
88.9
86.3
81.1
85.0
-3.9

south atlantic
87.4
85.4
76.2
81.6
-5.9

south central
85.8
84.6
78.9
81.1
-4.7

mountain
88.9
87.6
77.7
84.7
-4.2

pacific
85.9
85.2
76.6
81.8
-4.1

all regions
86.7
84.9
77.5
81.8
-5.0

women

new england
76.4
72.5
69.3
70.2
-6.2

middle atlantic
68.9
68.0
63.5
65.5
-3.4

east north central
73.8
70.4
65.0
67.7
-6.2

west north central
79.5
77.1
73.6
74.4
-5.1

south atlantic
73.2
70.5
65.1
66.0
-7.3

south central
68.6
65.1
60.7
63.4
-5.2

mountain
70.8
69.5
63.7
65.5
-5.3

pacific
67.6
65.0
60.5
63.9
-3.7

all regions
71.4
68.7
63.9
66.0
-5.4

Given the table image, tell me the locations of the subsequent table cells. Represent the cell location with JSON {'value': '<cell value>', 'location': (row index, column index)} where both Row indices and Column indices begin from 1.
(1) 'Just Your Luck'
(2) '-4.7'
(3) '85.4'
(4) 'Sergeant O'Malley'
(5) '73.8'
(6) '63.5'
(7) '70.8'
(8) '73.2'
(9) '78.9'
(10) '-7.3'
If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'.

The target cell locations are as follows:
(1) {'value': 'Just Your Luck', 'location': 'DOES NOT EXIST'}
(2) {'value': '-4.7', 'location': (9, 6)}
(3) {'value': '85.4', 'location': (8, 3)}
(4) {'value': 'Sergeant O'Malley', 'location': 'DOES NOT EXIST'}
(5) {'value': '73.8', 'location': (16, 2)}
(6) {'value': '63.5', 'location': (15, 4)}
(7) {'value': '70.8', 'location': (20, 2)}
(8) {'value': '73.2', 'location': (18, 2)}
(9) {'value': '78.9', 'location': (9, 4)}
(10) {'value': '-7.3', 'location': (18, 6)}