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: Midsummer House is a fast -food restaurant with a customer rating of 1 out of 5. It is situated near All Bar One which has a high price range.
Example Output: name[Midsummer House], food[Fast food], priceRange[high], customer rating[1 out of 5], near[All Bar One]

Example Input: Browns Cambridge in the city centre near Crowne Plaza Hotel is a family-friendly, fast food and coffee shop with a customer rating of 5 out of 5.
Example Output: name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]

Example Input: In riverside you will find a Fast food pub called The Olive Grove. It is not child friend and has a high price range.
Example Output:
name[The Olive Grove], eatType[pub], food[Fast food], priceRange[high], area[riverside], familyFriendly[no]