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.

Input: Consider Input: Alimentum providing fast food less than £20 price range. It is located in city center.

Output: name[Alimentum], food[Fast food], priceRange[less than £20], area[city centre], familyFriendly[no]


Input: Consider Input: Fitzbillies, located in Express by Holiday Inn, isn't recommended due to the food being priced over £30, and the atmosphere not being child-friendly.

Output: name[Fitzbillies], priceRange[more than £30], customer rating[low], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: Located next to the Crowne Plaza Hotel is a restaurant called The Waterman.  Families are not welcome.


Output: name[The Waterman], food[English], familyFriendly[no], near[Crowne Plaza Hotel]