Table:
Rank
Lane
Nation
Swimmers
Time
Time behind
Notes

4
United States
Michael Phelps (1:46.49)
Ryan Lochte (1:47.52)
Peter Vanderkaay (1:47.79)
Klete Keller (1:45.53)
7:07.33

AM

5
Australia
Grant Hackett (1:47.50)
Michael Klim (1:47.62)
Nicholas Sprenger (1:48.16)
Ian Thorpe (1:44.18)
7:07.46
0.13

7
Italy
Emiliano Brembilla (1:48.16)
Massimiliano Rosolino (1:46.24)
Simone Cercato (1:49.85)
Filippo Magnini (1:47.58)
7:11.83
4.50

4
6
Great Britain
Simon Burnett (1:47.90)
Gavin Meadows (1:48.46)
David O'Brien (1:49.05)
Ross Davenport (1:47.19)
7:12.60
5.27

5
2
Canada
Brent Hayden (1:49.08)
Brian Johns (1:49.15)
Andrew Hurd (1:48.09)
Rick Say (1:47.01)
7:13.33
6.00

6
3
Germany
Jens Schreiber (1:49.08)
Heiko Hell (1:49.15)
Lars Conrad (1:48.23)
Christian Keller (1:50.05)
7:16.51
9.18

7
8
France
Amaury Leveaux (1:48.57)
Fabien Horth (1:48.67)
Nicolas Kintz (1:50.01)
Nicolas Rostoucher (1:50.18)
7:17.43
10.10

8
1
Greece
Apostolos Antonopoulos (1:50.34)
Dimitrios Manganas (1:51.33)
Andreas Zisimos (1:50.26)
Nikolaos Xylouris (1:51.09)
7:23.02
15.67

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_ID, Column_ID)}, with both row and column IDs begin from 1.
Refer to the values below:
1. '1';
2. '3';
3. '10.10';
4. 'Germany';
5. '4.50';
6. 'Great Britain';
7. '7:23.02';
8. 'Time behind';
9. 'Rank';

Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'. 

The coordinates of target cells are listed below.
1. {'value': '1', 'location': (9, 2)}
2. {'value': '3', 'location': (7, 2)}
3. {'value': '10.10', 'location': (8, 6)}
4. {'value': 'Germany', 'location': (7, 3)}
5. {'value': '4.50', 'location': (4, 6)}
6. {'value': 'Great Britain', 'location': (5, 3)}
7. {'value': '7:23.02', 'location': (9, 5)}
8. {'value': 'Time behind', 'location': (1, 6)}
9. {'value': 'Rank', 'location': (1, 1)}