Table:
Season

Team

Games

Receiving

Fumbles

G
GS
Rec
Yds
Avg
Lng
TD
Fum
Lost

1994
LOS
12
0
21
272
13.0
34
3
0
0

1995
STL
16
16
119
1,781
15.0
72
13
2
1

1996
STL
16
16
84
1,338
15.9
70
7
1
1

1997
STL
12
12
56
815
14.6
59
5
1
0

1998
STL
5
5
32
457
14.3
80
1
0
0

1999
STL
16
16
77
1,165
15.1
60
12
0
0

2000
STL
16
16
87
1,471
16.9
78
9
1
1

2001
STL
16
16
64
1,106
17.3
51
6
3
1

2002
STL
16
16
79
1,075
13.6
34
7
2
2

2003
STL
15
15
69
981
14.2
41
5
0
0

2004
STL
16
16
89
1,292
14.5
56
6
5
4

2005
STL
11
10
36
525
14.6
46
3
0
0

2006
STL
16
13
74
1,098
14.8
45
3
0
0

2007
STL
14
12
55
733
13.3
37
4
0
0

2008
SF
16
15
61
835
13.7
63
7
0
0

2009
SF
10
7
21
265
12.6
50
0
0
0

Career
223
201
1,024
15,424
15.0
80
91
15
10

Given the table image, tell me the locations of the subsequent table cells. Represent the cell location with JSON {'value': '<cell value>', 'location': (row number, column number)} where both Row number and Column number begin from 1.
(1) '1996',
(2) '2005',
(3) '51',
(4) 'team',
Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.

The target cell locations are as follows:
(1) {'value': '1996', 'location': (5, 1)}
(2) {'value': '2005', 'location': (14, 1)}
(3) {'value': '51', 'location': (10, 8)}
(4) {'value': 'team', 'location': (1, 2)}