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:
Budapešť zase viní Bratislavu z jednostranně podniknutých kroků, škod vzniklých omezením průtoku dunajských vod ve starém korytě řeky a z vyvolání negativních vlivů na životní prostředí.
Postion	Tokenization
1	Budapešť
2	zase
3	viní
4	Bratislavu
5	z
6	jednostranně
7	podniknutých
8	kroků
9	,
10	škod
11	vzniklých
12	omezením
13	průtoku
14	dunajských
15	vod
16	ve
17	starém
18	korytě
19	řeky
20	a
21	z
22	vyvolání
23	negativních
24	vlivů
25	na
26	životní
27	prostředí
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Budapešť	PROPN	3	nsubj
2	zase	ADV	3	advmod
3	viní	VERB	0	root
4	Bratislavu	PROPN	3	obj
5	z	ADP	8	case
6	jednostranně	ADV	7	advmod
7	podniknutých	ADJ	8	amod
8	kroků	NOUN	3	obl
9	,	PUNCT	10	punct
10	škod	NOUN	8	conj
11	vzniklých	ADJ	10	amod
12	omezením	NOUN	11	obl
13	průtoku	NOUN	12	nmod
14	dunajských	ADJ	15	amod
15	vod	NOUN	13	nmod
16	ve	ADP	18	case
17	starém	ADJ	18	amod
18	korytě	NOUN	13	nmod
19	řeky	NOUN	18	nmod
20	a	CCONJ	22	cc
21	z	ADP	22	case
22	vyvolání	NOUN	8	conj
23	negativních	ADJ	24	amod
24	vlivů	NOUN	22	nmod
25	na	ADP	27	case
26	životní	ADJ	27	amod
27	prostředí	NOUN	24	nmod
28	.	PUNCT	3	punct