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: Dochází k závěru, že nikoli, a jako důkaz uvádí práci chemika Ilji Prigogina, nositele Nobelovy ceny, jehož ideje ovlivnily studium chaotických procesů - takových jevů, jako je pohyb částice v plynu nebo turbulence rychle proudícího toku.
Position	Tokenization	UPOS	Head	Deprel
1	Dochází	VERB	0	root
2	k	ADP	3	case
3	závěru	NOUN	1	obl:arg
4	,	PUNCT	6	punct
5	že	SCONJ	6	mark
6	nikoli	ADV	3	advmod
7	,	PUNCT	6	punct
8	a	CCONJ	11	cc
9	jako	SCONJ	10	mark
10	důkaz	NOUN	12	xcomp
11	uvádí	VERB	1	conj
12	práci	NOUN	11	obj
13	chemika	NOUN	12	nmod
14	Ilji	PROPN	13	flat
15	Prigogina	PROPN	13	flat
16	,	PUNCT	17	punct
17	nositele	NOUN	13	appos
18	Nobelovy	ADJ	19	amod
19	ceny	NOUN	17	nmod
20	,	PUNCT	23	punct
21	jehož	PRON	22	nmod
22	ideje	NOUN	23	nsubj
23	ovlivnily	VERB	13	appos
24	studium	NOUN	23	obj
25	chaotických	ADJ	26	amod
26	procesů	NOUN	24	nmod
27	-	PUNCT	29	punct
28	takových	DET	29	det
29	jevů	NOUN	26	appos
30	,	PUNCT	32	punct
31	jako	SCONJ	32	mark
32	je	VERB	29	acl
33	pohyb	NOUN	32	nsubj
34	částice	NOUN	33	nmod
35	v	ADP	36	case
36	plynu	NOUN	33	nmod
37	nebo	CCONJ	38	cc
38	turbulence	NOUN	33	conj
39	rychle	ADV	40	advmod
40	proudícího	ADJ	41	amod
41	toku	NOUN	38	nmod
42	.	PUNCT	1	punct