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:
Jak nás například informovali zástupci firmy BESO, objevili se už vážní zájemci o unikátní supersportovně upravené Chevrolety Corvette za 7.5 miliónu korun.
Postion	Tokenization
1	Jak
2	nás
3	například
4	informovali
5	zástupci
6	firmy
7	BESO
8	,
9	objevili
10	se
11	už
12	vážní
13	zájemci
14	o
15	unikátní
16	supersportovně
17	upravené
18	Chevrolety
19	Corvette
20	za
21	7.5
22	miliónu
23	korun
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	4	mark
2	nás	PRON	4	obj
3	například	ADV	4	advmod
4	informovali	VERB	9	advcl
5	zástupci	NOUN	4	nsubj
6	firmy	NOUN	5	nmod
7	BESO	PROPN	6	nmod
8	,	PUNCT	4	punct
9	objevili	VERB	0	root
10	se	PRON	9	expl:pv
11	už	ADV	13	advmod:emph
12	vážní	ADJ	13	amod
13	zájemci	NOUN	9	nsubj
14	o	ADP	18	case
15	unikátní	ADJ	18	amod
16	supersportovně	ADV	17	advmod
17	upravené	ADJ	18	amod
18	Chevrolety	PROPN	13	nmod
19	Corvette	PROPN	18	nmod
20	za	ADP	22	case
21	7.5	NUM	22	nummod:gov
22	miliónu	NOUN	18	nmod
23	korun	NOUN	22	nmod
24	.	PUNCT	9	punct