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:
Levá se podílí především na analytických procesech, mj. vytváření řeči a porozumění mluvenému slovu, pravá polovina slouží především k úkolům spojeným s prostorem a k hudebním výkonům.
Postion	Tokenization
1	Levá
2	se
3	podílí
4	především
5	na
6	analytických
7	procesech
8	,
9	mj
10	.
11	vytváření
12	řeči
13	a
14	porozumění
15	mluvenému
16	slovu
17	,
18	pravá
19	polovina
20	slouží
21	především
22	k
23	úkolům
24	spojeným
25	s
26	prostorem
27	a
28	k
29	hudebním
30	výkonům
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Levá	ADJ	3	dep
2	se	PRON	3	expl:pv
3	podílí	VERB	0	root
4	především	ADV	7	advmod:emph
5	na	ADP	7	case
6	analytických	ADJ	7	amod
7	procesech	NOUN	3	obl:arg
8	,	PUNCT	11	punct
9	mj	ADV	11	cc
10	.	PUNCT	11	punct
11	vytváření	NOUN	7	appos
12	řeči	NOUN	11	nmod
13	a	CCONJ	14	cc
14	porozumění	NOUN	12	conj
15	mluvenému	ADJ	16	amod
16	slovu	NOUN	14	nmod
17	,	PUNCT	20	punct
18	pravá	ADJ	19	amod
19	polovina	NOUN	20	nsubj
20	slouží	VERB	3	conj
21	především	ADV	23	advmod:emph
22	k	ADP	23	case
23	úkolům	NOUN	20	obl
24	spojeným	ADJ	23	amod
25	s	ADP	26	case
26	prostorem	NOUN	24	obl:arg
27	a	CCONJ	30	cc
28	k	ADP	30	case
29	hudebním	ADJ	30	amod
30	výkonům	NOUN	23	conj
31	.	PUNCT	3	punct