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:
Ta snad získá zkušenosti i v oblasti vážné hudby a příště se snad nezopakují drobné vady na kráse ojedinělého večera (např. ne zcela vyprodaný sál, nedostatek programů, tiskové chyby).
Postion	Tokenization
1	Ta
2	snad
3	získá
4	zkušenosti
5	i
6	v
7	oblasti
8	vážné
9	hudby
10	a
11	příště
12	se
13	snad
14	nezopakují
15	drobné
16	vady
17	na
18	kráse
19	ojedinělého
20	večera
21	(
22	např
23	.
24	ne
25	zcela
26	vyprodaný
27	sál
28	,
29	nedostatek
30	programů
31	,
32	tiskové
33	chyby
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Ta	DET	3	nsubj
2	snad	ADV	3	advmod
3	získá	VERB	0	root
4	zkušenosti	NOUN	3	obj
5	i	CCONJ	7	advmod:emph
6	v	ADP	7	case
7	oblasti	NOUN	4	nmod
8	vážné	ADJ	9	amod
9	hudby	NOUN	7	nmod
10	a	CCONJ	14	cc
11	příště	ADV	14	advmod
12	se	PRON	14	expl:pass
13	snad	ADV	14	advmod
14	nezopakují	VERB	3	conj
15	drobné	ADJ	16	amod
16	vady	NOUN	14	nsubj:pass
17	na	ADP	18	case
18	kráse	NOUN	16	nmod
19	ojedinělého	ADJ	20	amod
20	večera	NOUN	18	nmod
21	(	PUNCT	27	punct
22	např	ADV	27	cc
23	.	PUNCT	27	punct
24	ne	PART	25	advmod:emph
25	zcela	ADV	26	advmod
26	vyprodaný	ADJ	27	amod
27	sál	NOUN	16	appos
28	,	PUNCT	29	punct
29	nedostatek	NOUN	27	conj
30	programů	NOUN	29	nmod
31	,	PUNCT	33	punct
32	tiskové	ADJ	33	amod
33	chyby	NOUN	27	conj
34	)	PUNCT	27	punct
35	.	PUNCT	3	punct