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: Zjistíme-li, že pro nějaký proces je hodnota korelačního exponentu konečná a ostře větší než nula, klasifikujeme tím tento proces podle jeho složitosti na škále, kde jedním extrémem je konstantní proces a druhým bílý šum.
Position	Tokenization	UPOS	Head	Deprel
1	Zjistíme	VERB	20	advcl
2	-	PUNCT	1	punct
3	li	PART	1	mark
4	,	PUNCT	13	punct
5	že	SCONJ	13	mark
6	pro	ADP	8	case
7	nějaký	DET	8	det
8	proces	NOUN	13	obl
9	je	AUX	13	cop
10	hodnota	NOUN	13	nsubj
11	korelačního	ADJ	12	amod
12	exponentu	NOUN	10	nmod
13	konečná	ADJ	1	ccomp
14	a	CCONJ	16	cc
15	ostře	ADV	16	advmod
16	větší	ADJ	13	conj
17	než	SCONJ	18	mark
18	nula	NOUN	16	obl
19	,	PUNCT	1	punct
20	klasifikujeme	VERB	0	root
21	tím	DET	20	obl
22	tento	DET	23	det
23	proces	NOUN	20	obj
24	podle	ADP	26	case
25	jeho	DET	26	det
26	složitosti	NOUN	20	obl
27	na	ADP	28	case
28	škále	NOUN	26	nmod
29	,	PUNCT	32	punct
30	kde	ADV	32	advmod
31	jedním	NUM	32	nummod
32	extrémem	NOUN	28	acl:relcl
33	je	AUX	32	cop
34	konstantní	ADJ	35	amod
35	proces	NOUN	32	nsubj
36	_	_	None	_
37	a	CCONJ	37	cc
38	druhým	ADJ	32	conj
39	bílý	ADJ	39	amod
40	šum	NOUN	37	orphan
41	.	PUNCT	20	punct