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:
Naopak výhodou oproti sporožiru je, že klient není vázán na pobočku, v níž si založil účet, obslouží ho kterékoli z 3.5 tisíce pracovišť na poštách.
Postion	Tokenization
1	Naopak
2	výhodou
3	oproti
4	sporožiru
5	je
6	,
7	že
8	klient
9	není
10	vázán
11	na
12	pobočku
13	,
14	v
15	níž
16	si
17	založil
18	účet
19	,
20	obslouží
21	ho
22	kterékoli
23	z
24	3.5
25	tisíce
26	pracovišť
27	na
28	poštách
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Naopak	ADV	2	advmod
2	výhodou	NOUN	0	root
3	oproti	ADP	4	case
4	sporožiru	NOUN	2	nmod
5	je	AUX	2	cop
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	klient	NOUN	10	nsubj:pass
9	není	AUX	10	aux:pass
10	vázán	ADJ	2	nsubj
11	na	ADP	12	case
12	pobočku	NOUN	10	obl:arg
13	,	PUNCT	17	punct
14	v	ADP	15	case
15	níž	PRON	17	obl
16	si	PRON	17	obl
17	založil	VERB	12	acl:relcl
18	účet	NOUN	17	obj
19	,	PUNCT	20	punct
20	obslouží	VERB	10	conj
21	ho	PRON	20	obj
22	kterékoli	DET	20	nsubj
23	z	ADP	25	case
24	3.5	NUM	25	nummod
25	tisíce	NOUN	22	nmod
26	pracovišť	NOUN	25	nmod
27	na	ADP	28	case
28	poštách	NOUN	26	nmod
29	.	PUNCT	2	punct