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: A cheap family Friendly Indian called Strada near Rainbow Vegetarian Café with a average customer rating.
Example Output: name[Strada], food[Indian], priceRange[cheap], customer rating[average], familyFriendly[yes], near[Rainbow Vegetarian Café]

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: Pub with customer rating of 5 out of 5 sells French food with a price range of more than £30, which includes Wildwood.
Example Output:
name[Wildwood], eatType[pub], food[French], priceRange[more than £30], customer rating[5 out of 5]