Table:
field of doctorate
2001
2003
2006
2008
2010

number in labor force

all seh fields
582500
606300
630300
670200
709700

biological, agricultural, and environmental life sciences
142400
148800
158200
167600
179600

computer and information sciences
10900
12300
13700
16300
19400

mathematics and statistics
26300
29000
29500
31200
32500

physical sciences
113200
115700
115800
119900
124400

psychology
89600
93000
97500
101000
104200

social sciences
77200
79600
81000
85100
88700

engineering
101300
104400
108000
119800
129100

health
21500
23600
26500
29300
31800

unemployment rate (percent)a

all seh fields
1.3
2.1
1.4
1.7
2.4

biological, agricultural, and environmental life sciences
1.1
2
1.4
1.9
2.2

computer and information sciences
0.9
2.4
1.4
1.2
2.1

mathematics and statistics
1.5
2.4
1
1
1.5

physical sciences
1.7
2.5
2.1
2.4
3.5

psychology
0.8
1.7
0.9
1.3
1.7

social sciences
1.3
1.5
1
1.3
1.9

engineering
1.7
2.7
1.4
1.8
2.8

health
0.5
1.3
0.7
1
1.9

Given a task involving a table image, your goal is to pinpoint the positions of specified cells. Format each cell's location as JSON in the format {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, with both row and column IDs starting from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.
Refer to the cell values provided below:
1. '97500';
2. '2.5';
3. '2008';
4. '582500';

The coordinates of target cells are listed below.
1. {'value': '97500', 'location': (8, 4)}
2. {'value': '2.5', 'location': (17, 3)}
3. {'value': '2008', 'location': (1, 5)}
4. {'value': '582500', 'location': (3, 2)}