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: Jak se cítí jeden z protagonistů Divadla Sklep, filmů Pražská pětka a Kopytem sem, kopytem tam, režisér a představitel titulní role snímku Vrať se do hrobu, účastník listopadové filmařské iniciativy, nejnověji pak slavný Mozart v neslavném titulu Věry Chytilové Mí Pražané mi rozumějí, prostě - jak se cítíte více než dva roky poté?
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	advmod
2	se	PRON	3	expl:pv
3	cítí	VERB	0	root
4	jeden	NUM	3	nsubj
5	z	ADP	6	case
6	protagonistů	NOUN	4	nmod
7	Divadla	NOUN	6	nmod
8	Sklep	NOUN	7	nmod
9	,	PUNCT	10	punct
10	filmů	NOUN	7	conj
11	Pražská	ADJ	12	amod
12	pětka	NOUN	10	nmod
13	a	CCONJ	14	cc
14	Kopytem	NOUN	12	conj
15	sem	ADV	14	conj
16	,	PUNCT	17	punct
17	kopytem	NOUN	14	conj
18	tam	ADV	14	conj
19	,	PUNCT	20	punct
20	režisér	NOUN	4	conj
21	a	CCONJ	22	cc
22	představitel	NOUN	20	conj
23	titulní	ADJ	24	amod
24	role	NOUN	22	nmod
25	snímku	NOUN	24	nmod
26	Vrať	VERB	25	acl
27	se	PRON	26	expl:pv
28	do	ADP	29	case
29	hrobu	NOUN	26	obl
30	,	PUNCT	31	punct
31	účastník	NOUN	4	conj
32	listopadové	ADJ	34	amod
33	filmařské	ADJ	34	amod
34	iniciativy	NOUN	31	nmod
35	,	PUNCT	39	punct
36	nejnověji	ADV	38	advmod
37	pak	ADV	38	advmod
38	slavný	ADJ	39	amod
39	Mozart	PROPN	4	conj
40	v	ADP	42	case
41	neslavném	ADJ	42	amod
42	titulu	NOUN	39	nmod
43	Věry	PROPN	42	nmod
44	Chytilové	PROPN	43	flat
45	Mí	DET	46	det
46	Pražané	PROPN	48	nsubj
47	mi	PRON	48	obl:arg
48	rozumějí	VERB	42	acl
49	,	PUNCT	50	punct
50	prostě	ADV	3	conj
51	-	PUNCT	54	punct
52	jak	ADV	54	advmod
53	se	PRON	54	expl:pv
54	cítíte	VERB	50	dep
55	více	ADV	58	advmod
56	než	SCONJ	57	mark
57	dva	NUM	55	obl
58	roky	NOUN	54	obl
59	poté	ADV	58	advmod
60	?	PUNCT	3	punct