Table:
Source

Date

Population

Notes

Romania

Serbia

Jozu Rill
1864
30,000–35,000

Hungarian statistics
1880
18,298

Hungarian statistics
1900
19,944

Hungarian statistics
1910
13,536
"evidently underestimated"[9]

Various authors
second half
of the 19th century
22,000–26,000
"sometimes including the Krashovani"[9]

Romanian census
1930
10,012

Romanian Banat only

Dimo Kazasov
1936

3,200
Serbian Banat only; estimated

Romanian census
1939
9,951

Romanian Banat only

Karol Telbizov
1940
12,000

Romanian Banat only; estimated

Mihail Georgiev
1942

up to 4,500
Serbian Banat only; estimated[12]

Romanian census
1956
12,040

Romania only[13]

Yugoslav census
1971

3,745
Serbian Banat only[14]

Romanian census
1977
9,267

Romania only[13]

Romanian census
2002
6,486

Romania only[1]

Serbian census
2002

1,658
Serbia only[15]

Your is as follows:
Examine the table image and determine the locations of the mentioned cells. You need to express a cell's position with the JSON {'value': '<cell value>', 'location': (row index, column index)}, with row and column indices both commencing from 1. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.
Cells to locate:
1. 'Romanian Banat only; estimated'
2. '1910'
3. '"sometimes including the Krashovani"'
4. '1880'
5. 'Serbia only'
6. '6,486'
7. '"evidently underestimated"'

The coordinates of target cells are listed below.
1. {'value': 'Romanian Banat only; estimated', 'location': (10, 5)}
2. {'value': '1910', 'location': (5, 2)}
3. {'value': '"sometimes including the Krashovani"', 'location': (6, 5)}
4. {'value': '1880', 'location': (3, 2)}
5. {'value': 'Serbia only', 'location': (16, 5)}
6. {'value': '6,486', 'location': (15, 3)}
7. {'value': '"evidently underestimated"', 'location': (5, 5)}