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:
Z repertoáru ministra financí má zaznít zhudebněná báseň Bez peněz do hospody nelez, zatímco předseda republikánů nacvičuje evergreen Pryč s tyrany a zrádci všemi.
Postion	Tokenization
1	Z
2	repertoáru
3	ministra
4	financí
5	má
6	zaznít
7	zhudebněná
8	báseň
9	Bez
10	peněz
11	do
12	hospody
13	nelez
14	,
15	zatímco
16	předseda
17	republikánů
18	nacvičuje
19	evergreen
20	Pryč
21	s
22	tyrany
23	a
24	zrádci
25	všemi
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	2	case
2	repertoáru	NOUN	5	obl
3	ministra	NOUN	2	nmod
4	financí	NOUN	3	nmod
5	má	VERB	0	root
6	zaznít	VERB	5	xcomp
7	zhudebněná	ADJ	8	amod
8	báseň	NOUN	5	nsubj
9	Bez	ADP	10	case
10	peněz	NOUN	13	obl
11	do	ADP	12	case
12	hospody	NOUN	13	obl
13	nelez	VERB	8	acl
14	,	PUNCT	18	punct
15	zatímco	SCONJ	18	mark
16	předseda	NOUN	18	nsubj
17	republikánů	NOUN	16	nmod
18	nacvičuje	VERB	5	advcl
19	evergreen	NOUN	18	obj
20	Pryč	ADV	19	dep
21	s	ADP	22	case
22	tyrany	NOUN	19	dep
23	a	CCONJ	24	cc
24	zrádci	NOUN	22	conj
25	všemi	DET	22	det
26	.	PUNCT	5	punct