Table:
Year

Team

Games

Receiving

Rushing

Fumbles

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

2009
SF

11
11
48
625
13.0
50
2
0
0
0
0
0
1
1

2010
SF

16
15
55
741
13.5
60T
6
0
0
0
0
0
0
0

2011
SF

15
14
72
874
12.1
52T
4
1
6
6.0
0
0
0
0

2012
SF

16
16
85
1,105
13.0
49T
9
1
8
8.0
0
0
0
0

2013
SF

5
5
19
284
14.9
60
1
0
0
0
0
0
0
0

2014
SF

16
16
68
698
10.3
51
4
1
4
4.0
0
0
0
0

2015
OAK

16
15
85
922
10.8
38T
9
0
0
0
0
0
1
0

2016
OAK

16
16
89
1,003
12.1
56
8
0
0
0
0
0
2
0

2017
OAK

14
14
58
618
10.7
41
8
0
0
0
0
0
1
0

2018
BAL

16
16
54
607
11.2
27
3
0
0
0
0
0
0
0

Total
141
138
633
7,477
11.8
60T
54
3
18
6.0
0
0
6
1

In the context of a table, we can utilize the json format {'value': '<cell value>', 'location': (row_id, column_id)} to express a cell's position, where both row and column id commence from 1. Examining the provided table image, identify the locations of the following cells using this format.
Values to locate:
1. '138'
2. '741'
3. 'n/a'
4. 'vladimir putin'
5. '27'
6. '10.3'
7. '2015'
8. '2nd 2010 brazil'
9. 'jacob zuma'
Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.

The coordinates of target cells are listed below.
1. {'value': '138', 'location': (13, 4)}
2. {'value': '741', 'location': (4, 6)}
3. {'value': 'n/a', 'location': 'DOES NOT EXIST'}
4. {'value': 'vladimir putin', 'location': 'DOES NOT EXIST'}
5. {'value': '27', 'location': (12, 8)}
6. {'value': '10.3', 'location': (8, 7)}
7. {'value': '2015', 'location': (9, 1)}
8. {'value': '2nd 2010 brazil', 'location': 'DOES NOT EXIST'}
9. {'value': 'jacob zuma', 'location': 'DOES NOT EXIST'}