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: Za dvanáct let činnosti vytvořil soubor dvanáct inscenací, které si svou vyhraněnou podobou a hloubkou pohledu do vnitřního světa mladých lidí získaly zájem diváků i stálé spolupracovníky, jakými je například Alain Dumazel, někdejší herec Petera Brooka.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	3	case
2	dvanáct	NUM	3	nummod:gov
3	let	NOUN	5	obl
4	činnosti	NOUN	3	nmod
5	vytvořil	VERB	0	root
6	soubor	NOUN	5	nsubj
7	dvanáct	NUM	8	nummod:gov
8	inscenací	NOUN	5	obj
9	,	PUNCT	23	punct
10	které	DET	23	nsubj
11	si	PRON	23	obl
12	svou	DET	14	det
13	vyhraněnou	ADJ	14	amod
14	podobou	NOUN	23	obl
15	a	CCONJ	16	cc
16	hloubkou	NOUN	14	conj
17	pohledu	NOUN	16	nmod
18	do	ADP	20	case
19	vnitřního	ADJ	20	amod
20	světa	NOUN	17	nmod
21	mladých	ADJ	22	amod
22	lidí	NOUN	20	nmod
23	získaly	VERB	8	acl:relcl
24	zájem	NOUN	23	obj
25	diváků	NOUN	24	nmod
26	i	CCONJ	28	cc
27	stálé	ADJ	28	amod
28	spolupracovníky	NOUN	24	conj
29	,	PUNCT	30	punct
30	jakými	DET	28	acl:relcl
31	je	AUX	30	cop
32	například	ADV	33	advmod:emph
33	Alain	PROPN	30	nsubj
34	Dumazel	PROPN	33	flat
35	,	PUNCT	37	punct
36	někdejší	ADJ	37	amod
37	herec	NOUN	33	appos
38	Petera	PROPN	37	nmod
39	Brooka	PROPN	38	flat
40	.	PUNCT	5	punct