Table:
Year
Competition
Venue
Position
Event
Notes

1986

Venice Marathon

Venice, Italy

1st

Marathon

2:18:44

1987

World Championships

Rome, Italy

13th

Marathon

2:17:45

Venice Marathon

Venice, Italy

1st

Marathon

2:10:01

1990

European Championships

Split, FR Yugoslavia

4th

Marathon

2:17:45

1991

World Championships

Tokyo, Japan

6th

Marathon

2:15:58

1992

Olympic Games

Barcelona, Spain

5th

Marathon

2:14:15

1993

World Championships

Stuttgart, Germany

—

Marathon

DNF

1996

Olympic Games

Atlanta, United States

20th

Marathon

2:17:27

To fulfill your task, review the table image and pinpoint the positions of the specified cells. Make sure to represent a cell's location using the JSON format {'value': '<cell value>', 'location': (row number, column number)} which begin from '(1, 1)'.
Target cells:
(1) 'Venue'
(2) 'Tokyo, Japan'
(3) '—'
(4) 'Rome, Italy'
(5) '39°12′45.05″N 140°53′11.217″E ﻿ / ﻿ ﻿ / 39.2125139; 140.88644917'
(6) 'Architectural style'
(7) 'Notes'
(8) '1134'
(9) 'Opened'
(10) 'Stuttgart, Germany'
(11) '6th'

Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.

The coordinates of target cells are listed below.
(1) {'value': 'Venue', 'location': (1, 3)}
(2) {'value': 'Tokyo, Japan', 'location': (6, 3)}
(3) {'value': '—', 'location': (8, 4)}
(4) {'value': 'Rome, Italy', 'location': (3, 3)}
(5) {'value': '39°12′45.05″N 140°53′11.217″E ﻿ / ﻿ ﻿ / 39.2125139; 140.88644917', 'location': 'DOES NOT EXIST'}
(6) {'value': 'Architectural style', 'location': 'DOES NOT EXIST'}
(7) {'value': 'Notes', 'location': (1, 6)}
(8) {'value': '1134', 'location': 'DOES NOT EXIST'}
(9) {'value': 'Opened', 'location': 'DOES NOT EXIST'}
(10) {'value': 'Stuttgart, Germany', 'location': (8, 3)}
(11) {'value': '6th', 'location': (6, 4)}