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:
Nicméně Petr Čermák chápe politiku spíše jako prostředek k realizaci svých chlapeckých snů, a tak je ho častěji vidět za volanty rychlých aut nebo na fotbalových stadionech.
Postion	Tokenization
1	Nicméně
2	Petr
3	Čermák
4	chápe
5	politiku
6	spíše
7	jako
8	prostředek
9	k
10	realizaci
11	svých
12	chlapeckých
13	snů
14	,
15	a
16	tak
17	je
18	ho
19	častěji
20	vidět
21	za
22	volanty
23	rychlých
24	aut
25	nebo
26	na
27	fotbalových
28	stadionech
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Nicméně	CCONJ	4	cc
2	Petr	PROPN	4	nsubj
3	Čermák	PROPN	2	flat
4	chápe	VERB	0	root
5	politiku	NOUN	4	obj
6	spíše	ADV	4	advmod
7	jako	SCONJ	8	mark
8	prostředek	NOUN	5	xcomp
9	k	ADP	10	case
10	realizaci	NOUN	8	nmod
11	svých	DET	13	det
12	chlapeckých	ADJ	13	amod
13	snů	NOUN	10	nmod
14	,	PUNCT	17	punct
15	a	CCONJ	17	cc
16	tak	CCONJ	17	cc
17	je	VERB	4	conj
18	ho	PRON	20	obj
19	častěji	ADV	20	advmod
20	vidět	VERB	17	ccomp
21	za	ADP	22	case
22	volanty	NOUN	17	obl
23	rychlých	ADJ	24	amod
24	aut	NOUN	22	nmod
25	nebo	CCONJ	28	cc
26	na	ADP	28	case
27	fotbalových	ADJ	28	amod
28	stadionech	NOUN	22	conj
29	.	PUNCT	4	punct