Table:
sex, ethnicity, race, and citizenship
total
in labor force
not in labor force

all
working for pay or profit
unemployeda
all
retired
not working, not seeking work

all working
full time
part time

all u.s. seh doctorate holders
805500
88.1
86
76.1
9.9
2.1
11.9
10
1.9

sex

male
551700
87.7
85.7
77.9
7.8
2
12.3
11.5
0.8

female
253700
88.9
86.8
72.4
14.4
2.1
11.1
6.7
4.3

ethnicity and race

hispanic or latino
25800
93
91.1
81.8
8.9
1.9
7
5
1.9

not hispanic or latino
779700
87.9
85.9
76
9.9
2.1
12.1
10.2
1.9

american indian or alaska native
1700
88.2
88.2
76.5
11.8
d
5.9
d
d

asian
147500
93.6
91.3
86.4
4.7
2.3
6.4
4.7
1.7

black or african american
24500
93.9
91
80.4
11
2.4
6.1
4.9
1.2

native hawaiian or other pacific islander
900
88.9
88.9
77.8
11.1
d
11.1
d
11.1

white
596300
86.2
84.2
73.1
11.1
2
13.8
11.8
1.9

more than one race
8800
93.2
89.8
79.5
10.2
2.3
6.8
4.5
2.3

citizenship

u.s. citizen or permanent resident
775300
87.7
85.6
75.4
10.2
2.1
12.3
10.4
1.9

temporary visa holder
30200
98.3
97.4
95.4
2
1
1.7
d
1.3

In this task, you are provided with a table image and several target cells. You are required to determine the positions of these cells, which can be represented in the json {'value': '<cell value>', 'location': (Row_ID, Column_ID)}, with both row IDs and column IDs start from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.
Cell values are shown below:
(1) '8.9'
(2) '85.7'

The target cell locations are as follows:
(1) {'value': '8.9', 'location': (9, 6)}
(2) {'value': '85.7', 'location': (6, 4)}