Table:
name	pos	height	weight	date of birth	club

zoltán szécsi	gk	m (ft 6in)	-	1977 - 12 - 22	bvsc vízilabda

tamás varga	cb	m (ft 4in)	-	1975 - 07 - 14	vasas sc

norbert madaras	cf	m (ft 3in)	-	1979 - 12 - 01	vasas sc

ádám steinmetz	cf	m (ft 6in)	-	1980 - 08 - 11	vasas sc

tamás kásás	d	m (ft 7in)	-	1976 - 07 - 20	vasas sc

attila vári	cb	m (ft 7in)	-	1976 - 02 - 26	domino bhse

gergely kiss	cf	m (ft 6in)	-	1977 - 09 - 21	domino bhse

tibor benedek	cf	m (ft 3in)	-	1972 - 07 - 12	pro recco

rajmund fodor	d	m (ft 3in)	-	1976 - 02 - 21	domino bhse

istván gergely	gk	m (ft 8in)	-	1976 - 08 - 20	domino bhse

barnabás steinmetz	cb	m (ft 5in)	-	1975 - 10 - 06	vasas sc

tamás molnár	cf	m (ft 5in)	-	1975 - 08 - 02	domino bhse

péter biros	cf	m (ft 4in)	-	1976 - 04 - 05	domino bhse

Find column 5 in this table and extract its cells' values. Output the cell values in a column as JSON in the format {"column_id":"<column index>", "cell_list":"<a list of cells in this column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The target cell values of column 5: {"column_id": "5", "cell_list": ['date of birth', '1977 - 12 - 22', '1975 - 07 - 14', '1979 - 12 - 01', '1980 - 08 - 11', '1976 - 07 - 20', '1976 - 02 - 26', '1977 - 09 - 21', '1972 - 07 - 12', '1976 - 02 - 21', '1976 - 08 - 20', '1975 - 10 - 06', '1975 - 08 - 02', '1976 - 04 - 05']}