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: Testovaný vůz byl vybaven automatickou převodovkou a pro šestiválcový motor o obsahu 3206 ccm s velice pružným průběhem výkonu se zdála být vhodnější, navíc oproti manuální s ní dosáhnete překvapivě nižší spotřeby paliva.
Position	Tokenization	UPOS	Head	Deprel
1	Testovaný	ADJ	2	amod
2	vůz	NOUN	4	nsubj:pass
3	byl	AUX	4	aux:pass
4	vybaven	ADJ	0	root
5	automatickou	ADJ	6	amod
6	převodovkou	NOUN	4	obl
7	a	CCONJ	21	cc
8	pro	ADP	10	case
9	šestiválcový	ADJ	10	amod
10	motor	NOUN	21	obl
11	o	ADP	12	case
12	obsahu	NOUN	10	nmod
13	3206	NUM	12	nummod
14	ccm	NOUN	13	nmod
15	s	ADP	18	case
16	velice	ADV	17	advmod
17	pružným	ADJ	18	amod
18	průběhem	NOUN	10	nmod
19	výkonu	NOUN	18	nmod
20	se	PRON	21	expl:pv
21	zdála	VERB	4	conj
22	být	AUX	23	cop
23	vhodnější	ADJ	21	xcomp
24	,	PUNCT	30	punct
25	navíc	ADV	30	advmod
26	oproti	ADP	27	case
27	manuální	ADJ	30	dep
28	s	ADP	29	case
29	ní	PRON	30	obl
30	dosáhnete	VERB	4	conj
31	překvapivě	ADV	32	advmod
32	nižší	ADJ	33	amod
33	spotřeby	NOUN	30	obl:arg
34	paliva	NOUN	33	nmod
35	.	PUNCT	4	punct