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:
Např. vozidel značky Škoda se u nás prodává mnohem více než jiných aut, což v konečném důsledku vedle ceny náhradních dílů a oprav ovlivňuje pojistné.
Postion	Tokenization
1	Např
2	.
3	vozidel
4	značky
5	Škoda
6	se
7	u
8	nás
9	prodává
10	mnohem
11	více
12	než
13	jiných
14	aut
15	,
16	což
17	v
18	konečném
19	důsledku
20	vedle
21	ceny
22	náhradních
23	dílů
24	a
25	oprav
26	ovlivňuje
27	pojistné
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Např	ADV	3	advmod:emph
2	.	PUNCT	1	punct
3	vozidel	NOUN	11	nmod
4	značky	NOUN	3	nmod
5	Škoda	PROPN	4	nmod
6	se	PRON	9	expl:pass
7	u	ADP	8	case
8	nás	PRON	9	obl
9	prodává	VERB	0	root
10	mnohem	ADV	11	advmod
11	více	ADV	9	nsubj:pass
12	než	SCONJ	14	mark
13	jiných	ADJ	14	amod
14	aut	NOUN	11	advcl
15	,	PUNCT	26	punct
16	což	PRON	26	nsubj
17	v	ADP	19	case
18	konečném	ADJ	19	amod
19	důsledku	NOUN	26	obl
20	vedle	ADP	21	case
21	ceny	NOUN	26	obl
22	náhradních	ADJ	23	amod
23	dílů	NOUN	21	nmod
24	a	CCONJ	25	cc
25	oprav	NOUN	23	conj
26	ovlivňuje	VERB	9	conj
27	pojistné	NOUN	26	obj
28	.	PUNCT	9	punct