Table:
Year
Competition
Venue
Position
Event
Notes

Representing Bolivia

1999

South American Junior Championships

Concepción, Chile

10th

1500 m

1:57.74

2001

South American Championships

Manaus, Brazil

7th

800 m

1:52.19

Bolivarian Games

Ambato, Ecuador

3rd

800 m

1:51.64

2003

South American Championships

Barquisimeto, Venezuela

11th (h)

800 m

1:52.01

8th

1500 m

3:53.26

World Indoor Championships

Birmingham, United Kingdom

20th (h)

800 m

1:52.93

2004

Ibero-American Championships

Huelva, Spain

6th (h)

800 m

1:50.20

9th

1500 m

3:49.24

Olympic Games

Athens, Greece

68th (h)

800 m

1:51.87

2005

South American Championships

Cali, Colombia

4th

800 m

1:48.76

World Championships

Helsinki, Finland

34th (h)

800 m

1:49.57

Bolivarian Games

Armenia, Colombia

3rd

800 m

1:51.41

2006

World Indoor Championships

Moscow, Russia

22nd (h)

800 m

1:50.65

Ibero-American Championships

Ponce, Puerto Rico

2nd

800 m

1:48.16

11th

1500 m

3:49.82

2007

South American Championships

São Paulo, Brazil

6th

1500 m

3:45.57

Pan American Games

Rio de Janeiro, Brazil

9th (h)

800 m

1:48.27

World Championships

Osaka, Japan

42nd (h)

800 m

1:48.42

2008

World Indoor Championships

Valencia, Spain

21st (h)

800 m

1:50.55

Ibero-American Championships

Iquique, Chile

9th (h)

800 m

1:51.70

Olympic Games

Beijing, China

53rd (h)

800 m

1:50.57

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. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.
Cell values are shown below:
1. '7th';
2. '1:50.55';

The target cell locations are as follows:
1. {'value': '7th', 'location': (4, 4)}
2. {'value': '1:50.55', 'location': (21, 6)}