Table:
Year
Competition
Venue
Position
Event
Notes

Representing Poland

1999

European Junior Championships

Riga, Latvia

4th

400 m hurdles

52.17

2000

World Junior Championships

Santiago, Chile

1st

400 m hurdles

49.23

2001

World Championships

Edmonton, Canada

18th (sf)

400 m hurdles

49.80

Universiade

Beijing, China

8th

400 m hurdles

49.68

2002

European Indoor Championships

Vienna, Austria

1st

400 m

45.39 (CR, NR)

1st

4x400 m relay

3:05.50 (CR)

European Championships

Munich, Germany

4th

400 m

45.40

8th

4x400 m relay

DQ

2003

World Indoor Championships

Birmingham, United Kingdom

7th (sf)

400 m

46.82

3rd

4x400 m relay

3:06.61

European U23 Championships

Bydgoszcz, Poland

1st

400 m hurdles

48.45

1st

4x400 m relay

3:03.32

2004

Olympic Games

Athens, Greece

6th

400 m hurdles

49.00

10th (h)

4x400 m relay

3:03.69

2006

European Championships

Gothenburg, Sweden

2nd

400 m hurdles

48.71

2007

World Championships

Osaka, Japan

3rd

400 m hurdles

48.12 (NR)

3rd

4x400 m relay

3:00.05

2008

Olympic Games

Beijing, China

6th

400 m hurdles

48.42

7th

4x400 m relay

3:00.32

2012

European Championships

Helsinki, Finland

18th (sf)

400 m hurdles

50.77

Given a table image, your task is to extract the cells' values in the following rows:
the 19th row,
the 21th row,
the 11th row,
the 16th row,

Task requirements: Show the cells in a row in the JSON format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}. For example, {"row_id":"1", "cell_list": ["A", "B", "C"]}.

The extracted row contents are listed below.
For the 19th row: {"row_id": "19", "cell_list": ['2008', 'Olympic Games', 'Beijing, China', '6th', '400 m hurdles', '48.42']}
For the 21th row: {"row_id": "21", "cell_list": ['2012', 'European Championships', 'Helsinki, Finland', '18th (sf)', '400 m hurdles', '50.77']}
For the 11th row: {"row_id": "11", "cell_list": ['2003', 'World Indoor Championships', 'Birmingham, United Kingdom', '3rd', '4x400 m relay', '3:06.61']}
For the 16th row: {"row_id": "16", "cell_list": ['2006', 'European Championships', 'Gothenburg, Sweden', '2nd', '400 m hurdles', '48.71']}