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:
Namísto prezidenta Borise Jelcina, jehož účast na slavnostním uvítání vojáků se původně očekávala, z tribuny k vojákům promluvil ruský premiér Viktor Černomyrdin.
Postion	Tokenization
1	Namísto
2	prezidenta
3	Borise
4	Jelcina
5	,
6	jehož
7	účast
8	na
9	slavnostním
10	uvítání
11	vojáků
12	se
13	původně
14	očekávala
15	,
16	z
17	tribuny
18	k
19	vojákům
20	promluvil
21	ruský
22	premiér
23	Viktor
24	Černomyrdin
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Namísto	ADP	2	case
2	prezidenta	NOUN	20	obl
3	Borise	PROPN	2	flat
4	Jelcina	PROPN	2	flat
5	,	PUNCT	14	punct
6	jehož	PRON	7	nmod
7	účast	NOUN	14	nsubj:pass
8	na	ADP	10	case
9	slavnostním	ADJ	10	amod
10	uvítání	NOUN	7	nmod
11	vojáků	NOUN	10	nmod
12	se	PRON	14	expl:pass
13	původně	ADV	14	advmod
14	očekávala	VERB	2	acl:relcl
15	,	PUNCT	14	punct
16	z	ADP	17	case
17	tribuny	NOUN	20	obl
18	k	ADP	19	case
19	vojákům	NOUN	20	obl
20	promluvil	VERB	0	root
21	ruský	ADJ	22	amod
22	premiér	NOUN	20	nsubj
23	Viktor	PROPN	22	flat
24	Černomyrdin	PROPN	22	flat
25	.	PUNCT	20	punct