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 Strada sells Chinese food at moderate prices. i give it 3 out of 5 stars and this place is kids friendly. it is next to Rainbow Vegetarian Café
Example Output: name[Strada], food[Chinese], priceRange[moderate], customer rating[3 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]

Example Input: Cotto is a moderately-priced coffee shop serving Japanese food near The Portland Arms in the riverside area with a low customer rating.
Example Output: name[Cotto], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[The Portland Arms]

Example Input: there's a family friendly coffee shop in a cheap price range  near Raja Indian Cuisine  called The Wrestlers
Example Output:
name[The Wrestlers], eatType[coffee shop], food[Fast food], priceRange[less than £20], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]