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:
Vasili Kolmogorov se irrita cuando se le menciona el nombre de NTV, la cadena de televisión propiedad del magnate Vladimir Gusinski.
Postion	Tokenization
1	Vasili
2	Kolmogorov
3	se
4	irrita
5	cuando
6	se
7	le
8	menciona
9	el
10	nombre
11	de
12	NTV
13	,
14	la
15	cadena
16	de
17	televisión
18	propiedad
19	del
20	magnate
21	Vladimir
22	Gusinski
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Vasili	PROPN	4	nsubj
2	Kolmogorov	PROPN	1	flat
3	se	PRON	4	expl:pv
4	irrita	VERB	0	root
5	cuando	SCONJ	8	mark
6	se	PRON	8	expl:pass
7	le	PRON	8	obj
8	menciona	VERB	4	advcl
9	el	DET	10	det
10	nombre	NOUN	8	obj
11	de	ADP	12	case
12	NTV	PROPN	10	nmod
13	,	PUNCT	15	punct
14	la	DET	15	det
15	cadena	NOUN	12	appos
16	de	ADP	17	case
17	televisión	NOUN	15	nmod
18	propiedad	NOUN	15	appos
19	del	ADP	20	case
20	magnate	NOUN	18	nmod
21	Vladimir	PROPN	20	appos
22	Gusinski	PROPN	21	flat
23	.	PUNCT	4	punct