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 Vaults is a pub near Café Adriatic. It has a high customer rating and a price range of £20-25.
Example Output: name[The Vaults], eatType[pub], priceRange[£20-25], customer rating[high], near[Café Adriatic]

Example Input: Browns Cambridge is a high priced restaurant that offers a variety of food and drinks.
Example Output: name[Browns Cambridge], food[French], priceRange[more than £30], customer rating[low]

Example Input: Cotto lives near a Ranch with his parents. He loves going to Fast food restaurants in the city because their children friendly with inside playgrounds, that's why their customer ratings is so high.
Example Output:
name[Cotto], food[Fast food], customer rating[high], familyFriendly[yes], near[Ranch]