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: I přesto, že použití teorie náhodných procesů neobsahuje žádné prvky specifické právě pro mozek (pomocí stejného aparátu lze studovat např. kmity parní turbíny), tento formální přístup se v některých směrech osvědčil.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	2	advmod:emph
2	přesto	ADV	36	advmod
3	,	PUNCT	9	punct
4	že	SCONJ	9	mark
5	použití	NOUN	9	nsubj
6	teorie	NOUN	5	nmod
7	náhodných	ADJ	8	amod
8	procesů	NOUN	6	nmod
9	neobsahuje	VERB	36	advcl
10	žádné	DET	11	det
11	prvky	NOUN	9	obj
12	specifické	ADJ	11	amod
13	právě	ADV	15	advmod:emph
14	pro	ADP	15	case
15	mozek	NOUN	12	obl
16	(	PUNCT	20	punct
17	pomocí	ADP	19	case
18	stejného	ADJ	19	amod
19	aparátu	NOUN	20	obl
20	lze	VERB	9	parataxis
21	studovat	VERB	20	csubj
22	např	ADV	24	advmod:emph
23	.	PUNCT	22	punct
24	kmity	NOUN	21	obj
25	parní	ADJ	26	amod
26	turbíny	NOUN	24	nmod
27	)	PUNCT	20	punct
28	,	PUNCT	9	punct
29	tento	DET	31	det
30	formální	ADJ	31	amod
31	přístup	NOUN	36	nsubj
32	se	PRON	36	expl:pv
33	v	ADP	35	case
34	některých	DET	35	det
35	směrech	NOUN	36	obl
36	osvědčil	VERB	0	root
37	.	PUNCT	36	punct