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:
Zdá se, že prezident zvedl sázku tak vysoko záměrně, neboť předpokládá, že jeho političtí protivníci nemají v dané chvíli zájem na tak silné destabilizaci poměrů.
Postion	Tokenization
1	Zdá
2	se
3	,
4	že
5	prezident
6	zvedl
7	sázku
8	tak
9	vysoko
10	záměrně
11	,
12	neboť
13	předpokládá
14	,
15	že
16	jeho
17	političtí
18	protivníci
19	nemají
20	v
21	dané
22	chvíli
23	zájem
24	na
25	tak
26	silné
27	destabilizaci
28	poměrů
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdá	VERB	0	root
2	se	PRON	1	expl:pv
3	,	PUNCT	6	punct
4	že	SCONJ	6	mark
5	prezident	NOUN	6	nsubj
6	zvedl	VERB	1	csubj
7	sázku	NOUN	6	obj
8	tak	ADV	9	advmod
9	vysoko	ADV	6	advmod
10	záměrně	ADV	6	advmod
11	,	PUNCT	13	punct
12	neboť	CCONJ	13	cc
13	předpokládá	VERB	6	conj
14	,	PUNCT	19	punct
15	že	SCONJ	19	mark
16	jeho	DET	18	det
17	političtí	ADJ	18	amod
18	protivníci	NOUN	19	nsubj
19	nemají	VERB	13	ccomp
20	v	ADP	22	case
21	dané	ADJ	22	amod
22	chvíli	NOUN	19	obl
23	zájem	NOUN	19	obj
24	na	ADP	27	case
25	tak	ADV	26	advmod
26	silné	ADJ	27	amod
27	destabilizaci	NOUN	23	nmod
28	poměrů	NOUN	27	nmod
29	.	PUNCT	1	punct