Table:
Season
Team
Games
Receiving
Rushing

Fumbles

GP
GS
Rec
Yds
Avg
Lng
TD
Att
Yds
Avg
Lng
TD
FUM
Lost

2005
Cleveland Browns

10
7
32
512
16.0
80T
3
-
-
-
-
-
-
-

2006
Cleveland Browns

16
15
61
884
14.5
75
6
3
7
2.3
8
0
-
-

2007
Cleveland Browns

16
16
80
1,289
16.1
78T
16
-
-
-
-
-
3
2

2008
Cleveland Browns

16
16
55
873
15.9
70
3
-
-
-
-
-
-
-

2009
Cleveland Browns

4
4
10
139
13.9
24
0
-
-
-
-
-
-
-

2009
New York Jets

12
11
35
541
15.5
65T
4
-
-
-
-
-
1
1

2010
New York Jets

16
15
53
904
17.1
74T
7
1
4
4.0
4
0
1
1

2011
San Francisco 49ers

9
5
15
181
12.1
24
0
-
-
-
-
-
-
-

2012
Seattle Seahawks

10
1
8
74
9.3
16
1
-
-
-
-
-
-
-

2012
New York Jets

3
3
10
125
12.5
19
0
-
-
-
-
-
-
-

Total

109
92
349
5,397
15.5
80
40
4
11
2.8
8
0
5
4

A table may have multiple merged cells and we can represent a merged cell region by a JSON {'top-left':(x, y), 'bottom-right':(z, w)}. Here, '(x, y)' and '(z, w)' denote the coordinates (row_id, column_id) of the top-left and bottom-right cells of the merged regions, respectively. Now, based on the shown table image, please find all merged cells in this table and return their representations in the above format. Keep in mind that row and column IDs start from 1.

The merged cell regions are as follows:
{'top-left':(1, 1), 'bottom-right':(2, 1)}
{'top-left':(1, 2), 'bottom-right':(2, 2)}
{'top-left':(1, 3), 'bottom-right':(1, 4)}
{'top-left':(1, 5), 'bottom-right':(1, 9)}
{'top-left':(1, 10), 'bottom-right':(1, 14)}
{'top-left':(1, 15), 'bottom-right':(1, 16)}.