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:
Řezníčkův nezaměnitelně agresivní styl je vzácným příkladem toho, že nejen v automatickém, ale i ve vědomém psaní proudí básnické fluidum schopné fascinovat.
Postion	Tokenization
1	Řezníčkův
2	nezaměnitelně
3	agresivní
4	styl
5	je
6	vzácným
7	příkladem
8	toho
9	,
10	že
11	nejen
12	v
13	automatickém
14	,
15	ale
16	i
17	ve
18	vědomém
19	psaní
20	proudí
21	básnické
22	fluidum
23	schopné
24	fascinovat
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Řezníčkův	ADJ	4	amod
2	nezaměnitelně	ADV	3	advmod
3	agresivní	ADJ	4	amod
4	styl	NOUN	7	nsubj
5	je	AUX	7	cop
6	vzácným	ADJ	7	amod
7	příkladem	NOUN	0	root
8	toho	DET	7	amod
9	,	PUNCT	20	punct
10	že	SCONJ	20	mark
11	nejen	PART	13	advmod:emph
12	v	ADP	13	case
13	automatickém	ADJ	20	dep
14	,	PUNCT	19	punct
15	ale	CCONJ	19	cc
16	i	CCONJ	19	advmod:emph
17	ve	ADP	19	case
18	vědomém	ADJ	19	amod
19	psaní	NOUN	13	conj
20	proudí	VERB	8	acl
21	básnické	ADJ	22	amod
22	fluidum	NOUN	20	nsubj
23	schopné	ADJ	22	amod
24	fascinovat	VERB	23	xcomp
25	.	PUNCT	7	punct