In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: The Rice Boat is a poorly rated, moderately priced fast food venue which is family-friendly.  It can be found near Express by Holiday Inn in the city centre.
Example Output: name[The Rice Boat], food[Fast food], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]

Example Input: The Olive Grove is in the centre of the city.  It's a pub that serves English food. It has a price range of less than £20 and is family-friendly.
Example Output: name[The Olive Grove], eatType[pub], food[English], priceRange[less than £20], area[city centre], familyFriendly[yes]

Example Input: The Cambridge Blue is a French pub located near Café Brazil in the £20-25 price range.
Example Output:
name[The Cambridge Blue], eatType[pub], food[French], priceRange[£20-25], near[Café Brazil]