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:
Jistý pokles odbytu na domácím trhu a v USA vyrovnala automobilka Volkswagen zvýšeným prodejem svých vozů v Argentině, Brazílii a Číně.
Postion	Tokenization
1	Jistý
2	pokles
3	odbytu
4	na
5	domácím
6	trhu
7	a
8	v
9	USA
10	vyrovnala
11	automobilka
12	Volkswagen
13	zvýšeným
14	prodejem
15	svých
16	vozů
17	v
18	Argentině
19	,
20	Brazílii
21	a
22	Číně
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Jistý	ADJ	2	amod
2	pokles	NOUN	10	obj
3	odbytu	NOUN	2	nmod
4	na	ADP	6	case
5	domácím	ADJ	6	amod
6	trhu	NOUN	3	nmod
7	a	CCONJ	9	cc
8	v	ADP	9	case
9	USA	PROPN	6	conj
10	vyrovnala	VERB	0	root
11	automobilka	NOUN	10	nsubj
12	Volkswagen	PROPN	11	nmod
13	zvýšeným	ADJ	14	amod
14	prodejem	NOUN	10	obl
15	svých	DET	16	det
16	vozů	NOUN	14	nmod
17	v	ADP	18	case
18	Argentině	PROPN	14	nmod
19	,	PUNCT	20	punct
20	Brazílii	PROPN	18	conj
21	a	CCONJ	22	cc
22	Číně	PROPN	18	conj
23	.	PUNCT	10	punct