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:
Pražského volebního lídra ovšem nevybírá Miloš Zeman, nýbrž městský výbor, a tady vstupuje do hry jeho předseda Křeček a zejména již zmíněný Jiří Paroubek.
Postion	Tokenization
1	Pražského
2	volebního
3	lídra
4	ovšem
5	nevybírá
6	Miloš
7	Zeman
8	,
9	nýbrž
10	městský
11	výbor
12	,
13	a
14	tady
15	vstupuje
16	do
17	hry
18	jeho
19	předseda
20	Křeček
21	a
22	zejména
23	již
24	zmíněný
25	Jiří
26	Paroubek
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pražského	ADJ	3	amod
2	volebního	ADJ	3	amod
3	lídra	NOUN	5	obj
4	ovšem	CCONJ	5	cc
5	nevybírá	VERB	0	root
6	Miloš	PROPN	5	nsubj
7	Zeman	PROPN	6	flat
8	,	PUNCT	11	punct
9	nýbrž	CCONJ	11	cc
10	městský	ADJ	11	amod
11	výbor	NOUN	6	conj
12	,	PUNCT	15	punct
13	a	CCONJ	15	cc
14	tady	ADV	15	advmod
15	vstupuje	VERB	5	conj
16	do	ADP	17	case
17	hry	NOUN	15	obl
18	jeho	DET	19	det
19	předseda	NOUN	15	nsubj
20	Křeček	PROPN	19	flat
21	a	CCONJ	25	cc
22	zejména	ADV	25	advmod:emph
23	již	ADV	24	advmod
24	zmíněný	ADJ	25	amod
25	Jiří	PROPN	19	conj
26	Paroubek	PROPN	25	flat
27	.	PUNCT	5	punct