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:
Týká, protože je otázka času, kdy si zahraniční banky najdou cestu přímo do regionů, případně kdy si zajímavé klienty z regionů začnou zvát do své pražské pobočky.
Postion	Tokenization
1	Týká
2	,
3	protože
4	je
5	otázka
6	času
7	,
8	kdy
9	si
10	zahraniční
11	banky
12	najdou
13	cestu
14	přímo
15	do
16	regionů
17	,
18	případně
19	kdy
20	si
21	zajímavé
22	klienty
23	z
24	regionů
25	začnou
26	zvát
27	do
28	své
29	pražské
30	pobočky
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Týká	VERB	0	root
2	,	PUNCT	5	punct
3	protože	SCONJ	5	mark
4	je	AUX	5	cop
5	otázka	NOUN	1	advcl
6	času	NOUN	5	nmod
7	,	PUNCT	12	punct
8	kdy	ADV	12	advmod
9	si	PRON	12	obl
10	zahraniční	ADJ	11	amod
11	banky	NOUN	12	nsubj
12	najdou	VERB	5	csubj
13	cestu	NOUN	12	obj
14	přímo	ADV	12	advmod
15	do	ADP	16	case
16	regionů	NOUN	12	obl
17	,	PUNCT	25	punct
18	případně	ADV	25	cc
19	kdy	ADV	25	advmod
20	si	PRON	26	obl
21	zajímavé	ADJ	22	amod
22	klienty	NOUN	26	obj
23	z	ADP	24	case
24	regionů	NOUN	22	nmod
25	začnou	VERB	12	conj
26	zvát	VERB	25	xcomp
27	do	ADP	30	case
28	své	DET	30	det
29	pražské	ADJ	30	amod
30	pobočky	NOUN	25	obl
31	.	PUNCT	1	punct