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: Vokalista Dan Bárta za tři roky existence souboru vyrostl v jednu z nejvýraznějších osobností současné domácí scény (pěvecky i celkovým vystupováním) a aniž bych to předem tušil, Alice se pro mne osobně stala předčasným vrcholem večera.
Position	Tokenization	UPOS	Head	Deprel
1	Vokalista	NOUN	9	nsubj
2	Dan	PROPN	1	flat
3	Bárta	PROPN	1	flat
4	za	ADP	6	case
5	tři	NUM	6	nummod
6	roky	NOUN	9	obl
7	existence	NOUN	6	nmod
8	souboru	NOUN	7	nmod
9	vyrostl	VERB	0	root
10	v	ADP	11	case
11	jednu	NUM	9	obl
12	z	ADP	14	case
13	nejvýraznějších	ADJ	14	amod
14	osobností	NOUN	11	nmod
15	současné	ADJ	17	amod
16	domácí	ADJ	17	amod
17	scény	NOUN	14	nmod
18	(	PUNCT	19	punct
19	pěvecky	ADV	9	advmod
20	i	CCONJ	22	cc
21	celkovým	ADJ	22	amod
22	vystupováním	NOUN	19	conj
23	)	PUNCT	19	punct
24	a	CCONJ	36	cc
25	aniž	SCONJ	29	mark
26	bych	AUX	29	aux
27	to	DET	29	obj
28	předem	ADV	29	advmod
29	tušil	VERB	36	advcl
30	,	PUNCT	29	punct
31	Alice	PROPN	36	nsubj
32	se	PRON	36	expl:pv
33	pro	ADP	34	case
34	mne	PRON	36	obl:arg
35	osobně	ADV	34	advmod
36	stala	VERB	9	conj
37	předčasným	ADJ	38	amod
38	vrcholem	NOUN	36	obl
39	večera	NOUN	38	nmod
40	.	PUNCT	9	punct