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:
Ještě víc než zarážející je, že zkomolené a nepodložené závěry do historie nepropašovává pavlačová klepna, ale vážný adept kritického a teatrologického řemesla.
Postion	Tokenization
1	Ještě
2	víc
3	než
4	zarážející
5	je
6	,
7	že
8	zkomolené
9	a
10	nepodložené
11	závěry
12	do
13	historie
14	nepropašovává
15	pavlačová
16	klepna
17	,
18	ale
19	vážný
20	adept
21	kritického
22	a
23	teatrologického
24	řemesla
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ještě	ADV	2	advmod:emph
2	víc	ADV	4	advmod:emph
3	než	SCONJ	2	cc
4	zarážející	ADJ	0	root
5	je	AUX	4	cop
6	,	PUNCT	14	punct
7	že	SCONJ	14	mark
8	zkomolené	ADJ	11	amod
9	a	CCONJ	10	cc
10	nepodložené	ADJ	8	conj
11	závěry	NOUN	14	obj
12	do	ADP	13	case
13	historie	NOUN	14	obl
14	nepropašovává	VERB	4	ccomp
15	pavlačová	ADJ	16	amod
16	klepna	NOUN	14	nsubj
17	,	PUNCT	20	punct
18	ale	CCONJ	20	cc
19	vážný	ADJ	20	amod
20	adept	NOUN	16	conj
21	kritického	ADJ	24	amod
22	a	CCONJ	23	cc
23	teatrologického	ADJ	21	conj
24	řemesla	NOUN	20	nmod
25	.	PUNCT	4	punct