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:
Výsledkem je dluh Ruské federace vůči ČR v hodnotě asi 3.5 miliardy dolarů, přičemž vůči českým podnikům dosahuje asi 385 milionů dolarů.
Postion	Tokenization
1	Výsledkem
2	je
3	dluh
4	Ruské
5	federace
6	vůči
7	ČR
8	v
9	hodnotě
10	asi
11	3.5
12	miliardy
13	dolarů
14	,
15	přičemž
16	vůči
17	českým
18	podnikům
19	dosahuje
20	asi
21	385
22	milionů
23	dolarů
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Výsledkem	NOUN	0	root
2	je	AUX	1	cop
3	dluh	NOUN	1	nsubj
4	Ruské	ADJ	5	amod
5	federace	NOUN	3	nmod
6	vůči	ADP	7	case
7	ČR	PROPN	3	nmod
8	v	ADP	9	case
9	hodnotě	NOUN	3	nmod
10	asi	PART	11	advmod:emph
11	3.5	NUM	12	nummod:gov
12	miliardy	NOUN	9	nmod
13	dolarů	NOUN	12	nmod
14	,	PUNCT	19	punct
15	přičemž	ADV	19	advmod
16	vůči	ADP	18	case
17	českým	ADJ	18	amod
18	podnikům	NOUN	19	obl
19	dosahuje	VERB	1	conj
20	asi	PART	22	advmod:emph
21	385	NUM	22	nummod
22	milionů	NOUN	19	obl:arg
23	dolarů	NOUN	22	nmod
24	.	PUNCT	1	punct