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:
Není to nikdy omezení, ale naopak co největší volnost a rozšíření trhu, které jsou zárukou rychlého šíření informací a utváření "spravedlivé" ceny.
Postion	Tokenization
1	Není
2	to
3	nikdy
4	omezení
5	_
6	,
7	ale
8	naopak
9	co
10	největší
11	volnost
12	a
13	rozšíření
14	trhu
15	,
16	které
17	jsou
18	zárukou
19	rychlého
20	šíření
21	informací
22	a
23	utváření
24	"
25	spravedlivé
26	"
27	ceny
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Není	AUX	2	cop
2	to	DET	0	root
3	nikdy	ADV	2	advmod
4	omezení	NOUN	2	nsubj
5	_	_	None	_
6	,	PUNCT	7	punct
7	ale	CCONJ	7	cc
8	naopak	ADV	2	conj
9	co	ADV	9	advmod
10	největší	ADJ	10	amod
11	volnost	NOUN	7	orphan
12	a	CCONJ	12	cc
13	rozšíření	NOUN	10	conj
14	trhu	NOUN	12	nmod
15	,	PUNCT	17	punct
16	které	DET	17	nsubj
17	jsou	AUX	17	cop
18	zárukou	NOUN	10	acl:relcl
19	rychlého	ADJ	19	amod
20	šíření	NOUN	17	nmod
21	informací	NOUN	19	nmod
22	a	CCONJ	22	cc
23	utváření	NOUN	19	conj
24	"	PUNCT	24	punct
25	spravedlivé	ADJ	26	amod
26	"	PUNCT	24	punct
27	ceny	NOUN	22	nmod
28	.	PUNCT	2	punct