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: Wildwood is a high price, 5 star coffee shop located next to Ranch.

Output: name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], near[Ranch]


Input: Consider Input: Browns Cambridge is a coffee shop that is family-friendly they serve fast food that is in City center that is near Crowne Plaza Hotel that has a low customer rating.

Output: name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[low], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]


Input: Consider Input: Near the Burger King in the city centre is an Italian coffee shop called The Eagle. It is not child friendly, has an average customer rating and is in the high price range.


Output: name[The Eagle], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[city centre], familyFriendly[no], near[Burger King]