Table:
Year

Division

League

Reg. Season

Playoffs

National Cup

1931

1

ASL

6th (Fall)

No playoff

N/A

Spring 1932

1

ASL

5th?

No playoff

1st Round

Fall 1932

1

ASL

3rd

No playoff

N/A

Spring 1933

1

ASL

?

?

Final

1933/34

N/A

ASL

2nd

No playoff

?

1934/35

N/A

ASL

2nd

No playoff

?

1935/36

N/A

ASL

1st

Champion (no playoff)

?

1936/37

N/A

ASL

5th, National

Did not qualify

Champion

1937/38

N/A

ASL

3rd(t), National

1st Round

?

1938/39

N/A

ASL

4th, National

Did not qualify

?

1939/40

N/A

ASL

4th

No playoff

?

1940/41

N/A

ASL

6th

No playoff

?

1941/42

N/A

ASL

3rd

No playoff

?

1942/43

N/A

ASL

6th

No playoff

?

1943/44

N/A

ASL

9th

No playoff

?

1944/45

N/A

ASL

9th

No playoff

?

1945/46

N/A

ASL

5th

No playoff

?

1946/47

N/A

ASL

6th

No playoff

?

1947/48

N/A

ASL

6th

No playoff

?

1948/49

N/A

ASL

1st(t)

Finals

?

1949/50

N/A

ASL

3rd

No playoff

?

1950/51

N/A

ASL

5th

No playoff

?

1951/52

N/A

ASL

6th

No playoff

?

1952/53

N/A

ASL

6th

No playoff

Semifinals

1953/54

N/A

ASL

1st

Champion (no playoff)

Champion

1954/55

N/A

ASL

8th

No playoff

?

1955/56

N/A

ASL

6th

No playoff

?

A table may have multiple cells. We can utilize the json format {'value': '<cell value>', 'location': (row_id, column_id)} to store a cell's positions in a table, where both row and column id start from 1. I am providing you a table image. Please tell me the positions of the cells mentioned below using the above format. For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.
Values to locate:
1. '1948/49';
2. '1943/44';

The target cell locations are as follows:
1. {'value': '1948/49', 'location': (21, 1)}
2. {'value': '1943/44', 'location': (16, 1)}