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:
Vozy by měl vyrábět společný čínsko-německý podnik a ve výhledu je až 250000 vozů ročně, přičemž cena základní verze by se měla pohybovat kolem 10000 dolarů.
Postion	Tokenization
1	Vozy
2	by
3	měl
4	vyrábět
5	společný
6	čínsko
7	-
8	německý
9	podnik
10	a
11	ve
12	výhledu
13	je
14	až
15	250000
16	vozů
17	ročně
18	,
19	přičemž
20	cena
21	základní
22	verze
23	by
24	se
25	měla
26	pohybovat
27	kolem
28	10000
29	dolarů
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Vozy	NOUN	4	obj
2	by	AUX	3	aux
3	měl	VERB	0	root
4	vyrábět	VERB	3	xcomp
5	společný	ADJ	9	amod
6	čínsko	ADJ	9	amod
7	-	PUNCT	8	punct
8	německý	ADJ	6	conj
9	podnik	NOUN	3	nsubj
10	a	CCONJ	13	cc
11	ve	ADP	12	case
12	výhledu	NOUN	13	obl
13	je	VERB	3	conj
14	až	PART	15	advmod:emph
15	250000	NUM	16	nummod:gov
16	vozů	NOUN	13	nsubj
17	ročně	ADV	16	advmod
18	,	PUNCT	25	punct
19	přičemž	ADV	25	advmod
20	cena	NOUN	25	nsubj
21	základní	ADJ	22	amod
22	verze	NOUN	20	nmod
23	by	AUX	25	aux
24	se	PRON	26	expl:pv
25	měla	VERB	3	conj
26	pohybovat	VERB	25	xcomp
27	kolem	ADP	29	case
28	10000	NUM	29	nummod
29	dolarů	NOUN	26	obl
30	.	PUNCT	3	punct