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: Přestavba prvního policejního favoritu na plyn u nás stála včetně daně z přidané hodnoty kolem 40000 korun, a protože provoz je o polovinu levnější, náklady na úpravu by se měly vrátit po ujetí 30000 kilometrů.
Position	Tokenization	UPOS	Head	Deprel
1	Přestavba	NOUN	9	nsubj
2	prvního	ADJ	4	amod
3	policejního	ADJ	4	amod
4	favoritu	PROPN	1	nmod
5	na	ADP	6	case
6	plyn	NOUN	1	nmod
7	u	ADP	8	case
8	nás	PRON	9	obl
9	stála	VERB	0	root
10	včetně	ADP	11	case
11	daně	NOUN	9	obl
12	z	ADP	14	case
13	přidané	ADJ	14	amod
14	hodnoty	NOUN	11	nmod
15	kolem	ADP	17	case
16	40000	NUM	17	nummod:gov
17	korun	NOUN	9	obl:arg
18	,	PUNCT	32	punct
19	a	CCONJ	32	cc
20	protože	SCONJ	25	mark
21	provoz	NOUN	25	nsubj
22	je	AUX	25	cop
23	o	ADP	24	case
24	polovinu	NOUN	25	obl
25	levnější	ADJ	32	advcl
26	,	PUNCT	25	punct
27	náklady	NOUN	32	nsubj
28	na	ADP	29	case
29	úpravu	NOUN	27	nmod
30	by	AUX	32	aux
31	se	PRON	33	expl:pass
32	měly	VERB	9	conj
33	vrátit	VERB	32	xcomp
34	po	ADP	35	case
35	ujetí	NOUN	33	obl
36	30000	NUM	37	nummod:gov
37	kilometrů	NOUN	35	nmod
38	.	PUNCT	9	punct