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: Zprava doleva a obráceně přenáší informace mezi mozkovými hemisférami asi 200 miliónů nervových vláken svorového tělesa (corpus callosum), které je mezi nimi rozepjato jako velký vějíř dobře patrný při pohledu na mozek shora.
Position	Tokenization	UPOS	Head	Deprel
1	Zprava	ADV	2	advmod
2	doleva	ADV	5	advmod
3	a	CCONJ	4	cc
4	obráceně	ADV	2	conj
5	přenáší	VERB	0	root
6	informace	NOUN	5	obj
7	mezi	ADP	9	case
8	mozkovými	ADJ	9	amod
9	hemisférami	NOUN	5	obl
10	asi	PART	11	advmod:emph
11	200	NUM	12	nummod:gov
12	miliónů	NOUN	5	nsubj
13	nervových	ADJ	14	amod
14	vláken	NOUN	12	nmod
15	svorového	ADJ	16	amod
16	tělesa	NOUN	14	nmod
17	(	PUNCT	18	punct
18	corpus	NOUN	16	appos
19	callosum	ADJ	18	amod
20	)	PUNCT	18	punct
21	,	PUNCT	26	punct
22	které	DET	26	nsubj
23	je	AUX	26	cop
24	mezi	ADP	25	case
25	nimi	PRON	26	obl
26	rozepjato	ADJ	16	acl:relcl
27	jako	SCONJ	29	mark
28	velký	ADJ	29	amod
29	vějíř	NOUN	26	obl
30	dobře	ADV	31	advmod
31	patrný	ADJ	29	amod
32	při	ADP	33	case
33	pohledu	NOUN	31	obl
34	na	ADP	35	case
35	mozek	NOUN	33	nmod
36	shora	ADV	33	advmod
37	.	PUNCT	5	punct