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:
Naopak další pobyt ruských vojsk na německém území by nevyhnutelně vedl ke zhoršení vzájemných vztahů, řekl Jelcin v interview pro agenturu Interfax.
Postion	Tokenization
1	Naopak
2	další
3	pobyt
4	ruských
5	vojsk
6	na
7	německém
8	území
9	by
10	nevyhnutelně
11	vedl
12	ke
13	zhoršení
14	vzájemných
15	vztahů
16	,
17	řekl
18	Jelcin
19	v
20	interview
21	pro
22	agenturu
23	Interfax
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Naopak	ADV	11	advmod
2	další	ADJ	3	amod
3	pobyt	NOUN	11	nsubj
4	ruských	ADJ	5	amod
5	vojsk	NOUN	3	nmod
6	na	ADP	8	case
7	německém	ADJ	8	amod
8	území	NOUN	3	nmod
9	by	AUX	11	aux
10	nevyhnutelně	ADV	11	advmod
11	vedl	VERB	17	ccomp
12	ke	ADP	13	case
13	zhoršení	NOUN	11	obl
14	vzájemných	ADJ	15	amod
15	vztahů	NOUN	13	nmod
16	,	PUNCT	11	punct
17	řekl	VERB	0	root
18	Jelcin	PROPN	17	nsubj
19	v	ADP	20	case
20	interview	NOUN	17	obl
21	pro	ADP	22	case
22	agenturu	NOUN	20	nmod
23	Interfax	PROPN	22	nmod
24	.	PUNCT	17	punct