Table:
Religion

2001[1][2]

2011[1][3]

Number

%

Number

%

Christianity
2,087,242
71.9
1,763,299
57.6

Islam
21,739
0.7
45,950
1.5

Hinduism
5,439
0.2
10,434
0.3

Buddhism
5,407
0.2
9,117
0.3

Sikhism
2,015
0.1
2,962
0.1

Judaism
2,256
0.1
2,064
0.1

Other religion
6,909
0.2
12,705
0.4

No religion
537,935
18.5
982,997
32.1

Religion not stated
234,143
8.1
233,928
7.6

Total population
2,903,085
100.0
3,063,456
100.0

Given a table image and a set of target cells, your task is to identify their positions. Represent each cell's location as JSON in the format {'value': '<cell value>', 'location': (row index, column index)}, with both row and column indices begin from 1.
Refer to the values below:
1. '9,117',
2. '1,763,299',
3. 'girls',
4. 'total population',
5. '2,256',
6. '982,997',
7. '71.9',
8. 'islam',
9. 'sikhism',

Represent the location as 'DOES NOT EXIST' if a cell is not present in the table. 

The coordinates of target cells are listed below.
1. {'value': '9,117', 'location': (6, 4)}
2. {'value': '1,763,299', 'location': (3, 4)}
3. {'value': 'girls', 'location': 'DOES NOT EXIST'}
4. {'value': 'total population', 'location': (12, 1)}
5. {'value': '2,256', 'location': (8, 2)}
6. {'value': '982,997', 'location': (10, 4)}
7. {'value': '71.9', 'location': (3, 3)}
8. {'value': 'islam', 'location': (4, 1)}
9. {'value': 'sikhism', 'location': (7, 1)}