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:
Vítěz nedávných voleb Aleksander Kwasniewski a premiérka poražené vlády Hanna Suchocká, každý ze svého úhlu, ale stejně přesvědčivě popsali, co se stalo v Polsku.
Postion	Tokenization
1	Vítěz
2	nedávných
3	voleb
4	Aleksander
5	Kwasniewski
6	a
7	premiérka
8	poražené
9	vlády
10	Hanna
11	Suchocká
12	,
13	každý
14	ze
15	svého
16	úhlu
17	,
18	ale
19	stejně
20	přesvědčivě
21	popsali
22	,
23	co
24	se
25	stalo
26	v
27	Polsku
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vítěz	NOUN	21	nsubj
2	nedávných	ADJ	3	amod
3	voleb	NOUN	1	nmod
4	Aleksander	PROPN	1	flat
5	Kwasniewski	PROPN	1	flat
6	a	CCONJ	7	cc
7	premiérka	NOUN	1	conj
8	poražené	ADJ	9	amod
9	vlády	NOUN	7	nmod
10	Hanna	PROPN	7	flat
11	Suchocká	PROPN	7	flat
12	,	PUNCT	13	punct
13	každý	DET	21	dep
14	ze	ADP	16	case
15	svého	DET	16	det
16	úhlu	NOUN	13	conj
17	,	PUNCT	20	punct
18	ale	CCONJ	20	cc
19	stejně	ADV	20	advmod
20	přesvědčivě	ADV	13	conj
21	popsali	VERB	0	root
22	,	PUNCT	25	punct
23	co	PRON	25	nsubj
24	se	PRON	25	expl:pv
25	stalo	VERB	21	ccomp
26	v	ADP	27	case
27	Polsku	PROPN	25	obl
28	.	PUNCT	21	punct