Table:
Year
Team
Passing
Rushing

Cmp
Att
Pct
Yds
Y/A
TD
Int
Rtg
Att
Yds
Avg
TD

2009
Oklahoma
261
449
58.1
3,198
7.1
26
14
130.8
35
−113
−3.2
0

2010
Oklahoma
405
617
65.6
4,718
7.6
38
12
146.3
51
−128
−2.5
1

2011
Oklahoma
355
562
63.2
4,463
7.9
29
15
141.6
32
−24
−0.8
2

2012
Oklahoma
367
555
66.1
4,267
7.7
30
11
144.6
14
−110
−7.9
0

Career
1,388
2,183
63.6
16,646
7.6
123
52
141.5
132
−375
−2.8
3

Look at the provided table image. Your goal is to find the locations of the specified cells. Remember to represent a cell's location using the JSON {'value': '<cell value>', 'location': (row_id, column_id)}. Both row and column id begin from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.
Target cells:
(1) 'Election year'
(2) '2007'
(3) '30'
(4) '7.1'
(5) '-375'
(6) '51'
(7) '562'
(8) '-113'
(9) 'int'

The target cell locations are as follows:
(1) {'value': 'Election year', 'location': 'DOES NOT EXIST'}
(2) {'value': '2007', 'location': 'DOES NOT EXIST'}
(3) {'value': '30', 'location': (6, 8)}
(4) {'value': '7.1', 'location': (3, 7)}
(5) {'value': '-375', 'location': (7, 12)}
(6) {'value': '51', 'location': (4, 11)}
(7) {'value': '562', 'location': (5, 4)}
(8) {'value': '-113', 'location': (3, 12)}
(9) {'value': 'int', 'location': (2, 9)}