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: Strada is a well priced Chinese eatery popular with all the family, with high customer ratings. It is located close to Rainbow Vegetarian Café.

Output: name[Strada], food[Chinese], priceRange[£20-25], customer rating[high], familyFriendly[yes], near[Rainbow Vegetarian Café]


Input: Consider Input: Strada is located near Rainbow Vegetarian Café that serves English food with a price range less than £20. it has low customer rating and is family friendly

Output: name[Strada], food[English], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]


Input: Consider Input: Cotto is a high-priced fast food coffee shop located in city centre near The Portland Arms.


Output: name[Cotto], eatType[coffee shop], food[Fast food], priceRange[more than £30], customer rating[high], area[city centre], near[The Portland Arms]