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 pub is expensive and offers gourmet burgers
Example Output: name[The Cambridge Blue], eatType[pub], food[Fast food], priceRange[high], near[Café Brazil]

Example Input: The Olive Grove is a family-friendly fast food pub which is located at the riverside, price range is less than  £20.
Example Output: name[The Olive Grove], eatType[pub], food[Fast food], priceRange[less than £20], area[riverside], familyFriendly[yes]

Example Input: Located in the city centre, Fitzbillies is a child-friendly coffee shop with a 5 out of 5 rating. It serves Japanese food in the high price range.
Example Output:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[city centre], familyFriendly[yes]