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:
Brání tomu však na jedné straně prohibitně vysoká cena západních výrobků a na druhé straně zásadní nedůvěra v duobusy u českých výrobců vozidel pro městskou hromadnou dopravu.
Postion	Tokenization
1	Brání
2	tomu
3	však
4	na
5	jedné
6	straně
7	prohibitně
8	vysoká
9	cena
10	západních
11	výrobků
12	_
13	a
14	na
15	druhé
16	straně
17	zásadní
18	nedůvěra
19	v
20	duobusy
21	u
22	českých
23	výrobců
24	vozidel
25	pro
26	městskou
27	hromadnou
28	dopravu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Brání	VERB	0	root
2	tomu	DET	1	obl:arg
3	však	CCONJ	1	cc
4	na	ADP	6	case
5	jedné	NUM	6	nummod
6	straně	NOUN	1	obl
7	prohibitně	ADV	8	advmod
8	vysoká	ADJ	9	amod
9	cena	NOUN	1	nsubj
10	západních	ADJ	11	amod
11	výrobků	NOUN	9	nmod
12	_	_	None	_
13	a	CCONJ	15	cc
14	na	ADP	15	case
15	druhé	ADJ	15	amod
16	straně	NOUN	1	conj
17	zásadní	ADJ	17	amod
18	nedůvěra	NOUN	15	orphan
19	v	ADP	19	case
20	duobusy	NOUN	17	nmod
21	u	ADP	22	case
22	českých	ADJ	22	amod
23	výrobců	NOUN	17	nmod
24	vozidel	NOUN	22	nmod
25	pro	ADP	27	case
26	městskou	ADJ	27	amod
27	hromadnou	ADJ	27	amod
28	dopravu	NOUN	23	nmod
29	.	PUNCT	1	punct