Table:
Slalom	Super G	Downhill	Combined

Season	Age	Overall	Slalom	Giant

2007	20	130	–	40	–	–	—

2008	21	64	–	28	46	46	31

2009	22	7	–	6	16	16	1

2010	23	1	–	2	6	2	2

2011	24	3	–	5	6	9	6

2012	25	24	–	16	28	17	19

2013	26	48	–	48	27	38	4

2014	27	18	–	25	14	20	11

Season	Date	Location	Race

2009	13 Dec 2008	Val d'Isère, France	Giant slalom

2009	16 Jan 2009	Wengen, Switzerland	Super Combined

2010	4 Dec 2009	Beaver Creek, USA	Super Combined

2010	5 Dec 2009	Beaver Creek, USA	Downhill

2010	6 Dec 2009	Beaver Creek, USA	Giant Slalom

2010	16 Jan 2010	Wengen, Switzerland	Downhill

2010	10 Mar 2010	Garmisch, Germany	Downhill

2010	12 Mar 2010	Garmisch, Germany	Giant Slalom

2011	5 Mar 2011	Kranjska Gora, Slovenia	Giant Slalom

Based on the provided table, please extract the cells' values in the following rows or columns. The cells of every row or column should be presented in the JSON format of {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"row_id":"3", "cell_list": ["xxx", "yyy", "zzz"]}.
Target row or column indices:
the 19th row
the 14th row
the 15th row
the 2nd row
the 3rd row
the 7th column

The extracted row or column contents are listed below.
For the 19th row: {"row_id": "19", "cell_list": ['2011', '5 Mar 2011', 'Kranjska Gora, Slovenia', 'Giant Slalom', '', '', '', '']}
For the 14th row: {"row_id": "14", "cell_list": ['2010', '5 Dec 2009', 'Beaver Creek, USA', 'Downhill', '', '', '', '']}
For the 15th row: {"row_id": "15", "cell_list": ['2010', '6 Dec 2009', 'Beaver Creek, USA', 'Giant Slalom', '', '', '', '']}
For the 2nd row: {"row_id": "2", "cell_list": ['2007', '20', '130', '–', '40', '–', '–', '—']}
For the 3rd row: {"row_id": "3", "cell_list": ['2008', '21', '64', '–', '28', '46', '46', '31']}
For the 7th column: {"column_id": "7", "cell_list": ['Downhill', '–', '46', '16', '2', '9', '17', '38', '20', '', '', '', '', '', '', '', '', '', '']}