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:
Protože se nejčastěji vyslovují jména nově vzniklých menších bank, zeptali jsme se jejich dvou představitelů - generálních ředitelů pražské České banky a ústecké Ekoagrobanky.
Postion	Tokenization
1	Protože
2	se
3	nejčastěji
4	vyslovují
5	jména
6	nově
7	vzniklých
8	menších
9	bank
10	,
11	zeptali
12	jsme
13	se
14	jejich
15	dvou
16	představitelů
17	-
18	generálních
19	ředitelů
20	pražské
21	České
22	banky
23	a
24	ústecké
25	Ekoagrobanky
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Protože	SCONJ	4	mark
2	se	PRON	4	expl:pass
3	nejčastěji	ADV	4	advmod
4	vyslovují	VERB	11	advcl
5	jména	NOUN	4	nsubj:pass
6	nově	ADV	7	advmod
7	vzniklých	ADJ	9	amod
8	menších	ADJ	9	amod
9	bank	NOUN	5	nmod
10	,	PUNCT	4	punct
11	zeptali	VERB	0	root
12	jsme	AUX	11	aux
13	se	PRON	11	expl:pv
14	jejich	DET	16	det
15	dvou	NUM	16	nummod
16	představitelů	NOUN	11	obl:arg
17	-	PUNCT	19	punct
18	generálních	ADJ	19	amod
19	ředitelů	NOUN	16	appos
20	pražské	ADJ	22	amod
21	České	ADJ	22	amod
22	banky	NOUN	19	nmod
23	a	CCONJ	25	cc
24	ústecké	ADJ	25	amod
25	Ekoagrobanky	PROPN	22	conj
26	.	PUNCT	11	punct