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 Cambridge Blue is a pub near Café Brazil that provides English food with a price range of more than £30.
Example Output: name[The Cambridge Blue], eatType[pub], food[English], priceRange[more than £30], near[Café Brazil]

Example Input: A low priced Italian restaurant located in the centre of the city near All Bar One, Green Man is not family-friendly.
Example Output: name[Green Man], food[Italian], priceRange[less than £20], area[city centre], familyFriendly[no], near[All Bar One]

Example Input: The Rice Boat near Express by Holiday Inn, in the centre of the city, has English food,  moderate prices and is not kid friendly.  It has 1 out of 5 on customer ratings.
Example Output:
name[The Rice Boat], food[English], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]