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:
Protiklausovská rétorika šéfa posílených sociálních demokratů a stabilně vysoká popularita ODS dávají tušit, že politický zápas budou mezi sebou vést především tyto dvě strany.
Postion	Tokenization
1	Protiklausovská
2	rétorika
3	šéfa
4	posílených
5	sociálních
6	demokratů
7	a
8	stabilně
9	vysoká
10	popularita
11	ODS
12	dávají
13	tušit
14	,
15	že
16	politický
17	zápas
18	budou
19	mezi
20	sebou
21	vést
22	především
23	tyto
24	dvě
25	strany
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Protiklausovská	ADJ	2	amod
2	rétorika	NOUN	12	nsubj
3	šéfa	NOUN	2	nmod
4	posílených	ADJ	6	amod
5	sociálních	ADJ	6	amod
6	demokratů	NOUN	3	nmod
7	a	CCONJ	10	cc
8	stabilně	ADV	9	advmod
9	vysoká	ADJ	10	amod
10	popularita	NOUN	2	conj
11	ODS	PROPN	10	nmod
12	dávají	VERB	0	root
13	tušit	VERB	12	xcomp
14	,	PUNCT	21	punct
15	že	SCONJ	21	mark
16	politický	ADJ	17	amod
17	zápas	NOUN	21	obj
18	budou	AUX	21	aux
19	mezi	ADP	20	case
20	sebou	PRON	21	obl
21	vést	VERB	13	ccomp
22	především	ADV	25	advmod:emph
23	tyto	DET	25	det
24	dvě	NUM	25	nummod
25	strany	NOUN	21	nsubj
26	.	PUNCT	12	punct