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: Located near The Portland Arms, at the city centre, Cotto is an Italian coffee shop. Prices range more than £30. Customers have given it a high rating.
Example Output: name[Cotto], eatType[coffee shop], food[Italian], priceRange[more than £30], customer rating[high], area[city centre], near[The Portland Arms]

Example Input: Fitzbillies is an Italian coffee shop cheaply priced near the city Centre. It is not family-friendly and has a customer rating of 5 out of 5.
Example Output: name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[no]

Example Input: The Eagle coffee shop is located near Burger King in the city centre,  It is  family-friendly with Fast food costing less than £20 but has a low customer rating
Example Output:
name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[yes], near[Burger King]