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:
Vedle Sibery mají další piloti Motorsportu Škoda tato čísla: 6 Triner, 9 Štolfa, 12 Berger, s favority pojedou i posádky z Finska a Dánska.
Postion	Tokenization
1	Vedle
2	Sibery
3	mají
4	další
5	piloti
6	Motorsportu
7	Škoda
8	tato
9	čísla
10	:
11	6
12	Triner
13	,
14	9
15	Štolfa
16	,
17	12
18	Berger
19	,
20	s
21	favority
22	pojedou
23	i
24	posádky
25	z
26	Finska
27	a
28	Dánska
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Vedle	ADP	2	case
2	Sibery	PROPN	3	obl
3	mají	VERB	0	root
4	další	ADJ	5	amod
5	piloti	NOUN	3	nsubj
6	Motorsportu	PROPN	5	nmod
7	Škoda	PROPN	6	nmod
8	tato	DET	9	det
9	čísla	NOUN	3	obj
10	:	PUNCT	11	punct
11	6	NUM	3	appos
12	Triner	PROPN	11	conj
13	,	PUNCT	14	punct
14	9	NUM	11	conj
15	Štolfa	PROPN	11	conj
16	,	PUNCT	17	punct
17	12	NUM	11	conj
18	Berger	PROPN	11	conj
19	,	PUNCT	22	punct
20	s	ADP	21	case
21	favority	NOUN	22	obl
22	pojedou	VERB	3	conj
23	i	CCONJ	24	advmod:emph
24	posádky	NOUN	22	nsubj
25	z	ADP	26	case
26	Finska	PROPN	24	nmod
27	a	CCONJ	28	cc
28	Dánska	PROPN	26	conj
29	.	PUNCT	3	punct