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:
Je to vzhledem ke zvýšené ceně vozu za povinnou výbavu katalyzátorem, díky dostatečné výrobě ( 220000 kusů v roce 1993), ale i vinou umrtvení obchodu vždy na začátku roku.
Postion	Tokenization
1	Je
2	to
3	vzhledem
4	ke
5	zvýšené
6	ceně
7	vozu
8	za
9	povinnou
10	výbavu
11	katalyzátorem
12	,
13	díky
14	dostatečné
15	výrobě
16	(
17	220000
18	kusů
19	v
20	roce
21	1993
22	)
23	,
24	ale
25	i
26	vinou
27	umrtvení
28	obchodu
29	vždy
30	na
31	začátku
32	roku
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	VERB	0	root
2	to	DET	1	nsubj
3	vzhledem	ADP	6	case
4	ke	ADP	3	fixed
5	zvýšené	ADJ	6	amod
6	ceně	NOUN	1	obl
7	vozu	NOUN	6	nmod
8	za	ADP	10	case
9	povinnou	ADJ	10	amod
10	výbavu	NOUN	6	nmod
11	katalyzátorem	NOUN	10	nmod
12	,	PUNCT	15	punct
13	díky	NOUN	15	case
14	dostatečné	ADJ	15	amod
15	výrobě	NOUN	1	obl
16	(	PUNCT	17	punct
17	220000	NUM	18	nummod:gov
18	kusů	NOUN	15	nmod
19	v	ADP	20	case
20	roce	NOUN	18	nmod
21	1993	NUM	20	nummod
22	)	PUNCT	15	punct
23	,	PUNCT	27	punct
24	ale	CCONJ	27	cc
25	i	CCONJ	27	advmod:emph
26	vinou	NOUN	27	case
27	umrtvení	NOUN	15	conj
28	obchodu	NOUN	27	nmod
29	vždy	ADV	27	advmod
30	na	ADP	31	case
31	začátku	NOUN	27	nmod
32	roku	NOUN	31	nmod
33	.	PUNCT	1	punct