Table:
Period

Live births per year

Deaths per year

Natural change per year

CBR1

CDR1

NC1

TFR1

IMR1

1950-1955

9 000

5 000

4 000

47.9

27.1

20.8

6.67

184.8

1955-1960

10 000

6 000

5 000

49.0

26.8

22.3

6.67

181.4

1960-1965

12 000

6 000

6 000

48.5

25.7

22.8

6.67

174.1

1965-1970

13 000

7 000

7 000

47.8

24.1

23.8

6.67

163.1

1970-1975

16 000

7 000

8 000

47.0

22.0

25.1

6.67

149.3

1975-1980

18 000

8 000

10 000

45.8

19.6

26.2

6.67

133.2

1980-1985

20 000

8 000

12 000

42.7

17.1

25.6

6.39

117.1

1985-1990

21 000

8 000

13 000

40.4

15.0

25.3

6.11

104.0

1990-1995

19 000

7 000

12 000

35.2

12.5

22.7

5.27

87.5

1995-2000

16 000

5 000

11 000

29.2

9.9

19.3

4.13

69.7

2000-2005

15 000

5 000

11 000

25.2

7.9

17.2

3.30

52.8

2005-2010

15 000

5 000

10 000

21.5

7.2

14.4

2.61

44.4

1 CBR = crude birth rate (per 1000); CDR = crude death rate (per 1000); NC = natural change (per 1000); TFR = total fertility rate (number of children per woman); IMR = infant mortality rate per 1000 births

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 index, column index)}, with both row indices and column indices start from 1. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.
Cell values are shown below:
(1) '19.6'
(2) '48.5'
(3) '1985-1990'
(4) '2.61'
(5) '25.1'
(6) '9 000'
(7) '52.8'
(8) '19 000'

The target cell locations are as follows:
(1) {'value': '19.6', 'location': (7, 6)}
(2) {'value': '48.5', 'location': (4, 5)}
(3) {'value': '1985-1990', 'location': (9, 1)}
(4) {'value': '2.61', 'location': (13, 8)}
(5) {'value': '25.1', 'location': (6, 7)}
(6) {'value': '9 000', 'location': (2, 2)}
(7) {'value': '52.8', 'location': (12, 9)}
(8) {'value': '19 000', 'location': (10, 2)}