Table:
Home team

Home team score

Away team

Away team score

Venue

Crowd

Date

Fitzroy

11.22 (88)

South Melbourne

12.15 (87)

Junction Oval

11,267

15 May 1976

Carlton

21.14 (140)

Richmond

9.15 (69)

Princes Park

30,095

15 May 1976

Melbourne

14.13 (97)

Hawthorn

21.19 (145)

MCG

25,876

15 May 1976

Geelong

13.17 (95)

Footscray

14.9 (93)

Kardinia Park

30,395

15 May 1976

St Kilda

9.15 (69)

Essendon

14.13 (97)

Moorabbin Oval

19,864

15 May 1976

Collingwood

11.9 (75)

North Melbourne

5.16 (46)

VFL Park

34,051

15 May 1976

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 number, column number)}, with both row and column number begin from 1.
Refer to the values below:
1. 'melbourne';
2. 'home team';
3. '37.8';
4. 'kardinia park';
5. '30095';

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': 'melbourne', 'location': (4, 1)}
2. {'value': 'home team', 'location': (1, 1)}
3. {'value': '37.8', 'location': 'DOES NOT EXIST'}
4. {'value': 'kardinia park', 'location': (5, 5)}
5. {'value': '30095', 'location': (3, 6)}