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 text: Silvio Berlusconi, jehož Forza Italia vyšla vítězně z nedávných parlamentních voleb, a především jeho neofašistický spojenec Gianfranco Fini soudí za podpory některých reprezentantů Severní ligy, například nové předsedkyně poslanecké sněmovny Pivettiové, že spor mezi fašismem a antifašismem je překonaný.
Position	Tokenization	UPOS	Head	Deprel
1	Silvio	PROPN	21	nsubj
2	Berlusconi	PROPN	1	flat
3	,	PUNCT	7	punct
4	jehož	DET	5	det
5	Forza	ADJ	7	nsubj
6	Italia	PROPN	5	flat:foreign
7	vyšla	VERB	1	acl:relcl
8	vítězně	ADV	7	advmod
9	z	ADP	12	case
10	nedávných	ADJ	12	amod
11	parlamentních	ADJ	12	amod
12	voleb	NOUN	7	obl
13	,	PUNCT	7	punct
14	a	CCONJ	18	cc
15	především	ADV	18	advmod:emph
16	jeho	DET	18	det
17	neofašistický	ADJ	18	amod
18	spojenec	NOUN	1	conj
19	Gianfranco	PROPN	18	nmod
20	Fini	PROPN	19	flat
21	soudí	VERB	0	root
22	za	ADP	23	case
23	podpory	NOUN	21	obl
24	některých	DET	25	det
25	reprezentantů	NOUN	23	nmod
26	Severní	ADJ	27	amod
27	ligy	NOUN	25	nmod
28	,	PUNCT	31	punct
29	například	ADV	31	cc
30	nové	ADJ	31	amod
31	předsedkyně	NOUN	25	appos
32	poslanecké	ADJ	33	amod
33	sněmovny	NOUN	31	nmod
34	Pivettiové	PROPN	31	flat
35	,	PUNCT	43	punct
36	že	SCONJ	43	mark
37	spor	NOUN	43	nsubj
38	mezi	ADP	39	case
39	fašismem	NOUN	37	nmod
40	a	CCONJ	41	cc
41	antifašismem	NOUN	39	conj
42	je	AUX	43	cop
43	překonaný	ADJ	21	ccomp
44	.	PUNCT	21	punct