Table:
Year
Competition
Venue
Position
Event
Notes

1978

World Cross Country Championships

Glasgow, Scotland

43rd

4.7 km

1981

World Cross Country Championships

Madrid, Spain

65th

4.4 km

1982

Commonwealth Games

Brisbane, Australia

2nd

3000 m

8:48.47

1983

World Championships

Helsinki, Finland

5th

1500 m

4:04.14

5th

3000 m

8:37.06

World Women's Road Race Championships

San Diego, United States

1st

10 km

32:23

1984

Olympic Games

Los Angeles, United States

2nd

3000 m

8:39.47

1986

Commonwealth Games

Edinburgh, Scotland

8th

3000 m

9:14.04

1987

World Championships

Rome, Italy

8th

300 m

8:45.85

1988

Olympic Games

Seoul, South Korea

7th

3000 m

8:37.70

1990

Commonwealth Games

Auckland, New Zealand

DNF

10,000 m

—

Given a table image and a set of target cells, your task is to identify their positions. Represent each cell's location as JSON in the format {'value': '<cell value>', 'location': (row number, column number)}, with both row and column number begin from 1.
Refer to the values below:
CELL VALUE 1: '1986',
CELL VALUE 2: '43rd',
CELL VALUE 3: 'Competition',
CELL VALUE 4: '8:45.85',
CELL VALUE 5: '300 m',
CELL VALUE 6: 'Seoul, South Korea',
CELL VALUE 7: 'Edinburgh, Scotland',

Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table. 

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': '1986', 'location': (9, 1)}
CELL LOCATION 2: {'value': '43rd', 'location': (2, 4)}
CELL LOCATION 3: {'value': 'Competition', 'location': (1, 2)}
CELL LOCATION 4: {'value': '8:45.85', 'location': (10, 6)}
CELL LOCATION 5: {'value': '300 m', 'location': (10, 5)}
CELL LOCATION 6: {'value': 'Seoul, South Korea', 'location': (11, 3)}
CELL LOCATION 7: {'value': 'Edinburgh, Scotland', 'location': (9, 3)}