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 text: Pro lepší práci poslanců se však buduje i nová závodní restaurace a kuchyň, také "lepší" restaurace, čili klub, kde budou moci nejen zákonodárci, ale také pracovníci FS přijímat návštěvy.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	3	case
2	lepší	ADJ	3	amod
3	práci	NOUN	7	obl
4	poslanců	NOUN	3	nmod
5	se	PRON	7	expl:pass
6	však	CCONJ	7	cc
7	buduje	VERB	0	root
8	i	CCONJ	11	advmod:emph
9	nová	ADJ	11	amod
10	závodní	ADJ	11	amod
11	restaurace	NOUN	7	nsubj:pass
12	a	CCONJ	13	cc
13	kuchyň	NOUN	11	conj
14	,	PUNCT	19	punct
15	také	ADV	19	advmod:emph
16	"	PUNCT	17	punct
17	lepší	ADJ	19	amod
18	"	PUNCT	17	punct
19	restaurace	NOUN	11	conj
20	,	PUNCT	22	punct
21	čili	CCONJ	22	cc
22	klub	NOUN	19	appos
23	,	PUNCT	26	punct
24	kde	ADV	26	advmod
25	budou	AUX	26	aux
26	moci	VERB	19	acl:relcl
27	nejen	PART	28	cc
28	zákonodárci	NOUN	26	nsubj
29	,	PUNCT	32	punct
30	ale	CCONJ	32	cc
31	také	ADV	32	advmod:emph
32	pracovníci	NOUN	28	conj
33	FS	PROPN	32	nmod
34	přijímat	VERB	26	xcomp
35	návštěvy	NOUN	34	obj
36	.	PUNCT	7	punct