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 Vaults is a Sushi restaurant in the City Centre that provides food at the low price range. It is not family friendly.
Example Output: name[The Vaults], food[Japanese], priceRange[less than £20], familyFriendly[no]

Example Input: The Golden Palace is a very cheap restaurant located in the centre of the city and delivers take away.
Example Output: name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside]

Example Input: Rated 1 out of 5, Cotto is a fast food coffee shop. Cotto is moderately priced and located in the riverside area near The Portland Arms.
Example Output:
name[Cotto], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[The Portland Arms]