As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
The worst thing that can happen for any restaurant like Zahav is to have too many people write hyperbolic reviews making claims that "everyone" is going to "love" the food, decor and service.
Postion	Tokenization
1	The
2	worst
3	thing
4	that
5	can
6	happen
7	for
8	any
9	restaurant
10	like
11	Zahav
12	is
13	to
14	have
15	too
16	many
17	people
18	write
19	hyperbolic
20	reviews
21	making
22	claims
23	that
24	"
25	everyone
26	"
27	is
28	going
29	to
30	"
31	love
32	"
33	the
34	food
35	,
36	decor
37	and
38	service
39	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	worst	ADJ	3	amod
3	thing	NOUN	12	nsubj
4	that	PRON	6	nsubj
5	can	AUX	6	aux
6	happen	VERB	3	acl:relcl
7	for	ADP	9	case
8	any	DET	9	det
9	restaurant	NOUN	6	obl
10	like	ADP	11	case
11	Zahav	PROPN	9	nmod
12	is	VERB	0	root
13	to	PART	14	mark
14	have	VERB	12	ccomp
15	too	ADV	16	advmod
16	many	ADJ	17	amod
17	people	NOUN	18	nsubj
18	write	VERB	14	ccomp
19	hyperbolic	ADJ	20	amod
20	reviews	NOUN	18	obj
21	making	VERB	20	acl
22	claims	NOUN	21	obj
23	that	SCONJ	28	mark
24	"	PUNCT	25	punct
25	everyone	PRON	28	nsubj
26	"	PUNCT	25	punct
27	is	AUX	28	aux
28	going	VERB	22	acl
29	to	PART	31	mark
30	"	PUNCT	31	punct
31	love	VERB	28	xcomp
32	"	PUNCT	31	punct
33	the	DET	34	det
34	food	NOUN	31	obj
35	,	PUNCT	36	punct
36	decor	NOUN	34	conj
37	and	CCONJ	38	cc
38	service	NOUN	34	conj
39	.	PUNCT	12	punct