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:
Potom se pobaví a také pochopí, že Narozeniny znázorňují ztrátu reálné komunikace (postavy se neobrážejí v zrcadle) a zabití citu kupou frází.
Postion	Tokenization
1	Potom
2	se
3	pobaví
4	a
5	také
6	pochopí
7	,
8	že
9	Narozeniny
10	znázorňují
11	ztrátu
12	reálné
13	komunikace
14	(
15	postavy
16	se
17	neobrážejí
18	v
19	zrcadle
20	)
21	a
22	zabití
23	citu
24	kupou
25	frází
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Potom	ADV	3	advmod
2	se	PRON	3	expl:pv
3	pobaví	VERB	0	root
4	a	CCONJ	6	cc
5	také	ADV	6	advmod
6	pochopí	VERB	3	conj
7	,	PUNCT	10	punct
8	že	SCONJ	10	mark
9	Narozeniny	NOUN	10	nsubj
10	znázorňují	VERB	6	ccomp
11	ztrátu	NOUN	10	obj
12	reálné	ADJ	13	amod
13	komunikace	NOUN	11	nmod
14	(	PUNCT	17	punct
15	postavy	NOUN	17	nsubj
16	se	PRON	17	expl:pv
17	neobrážejí	VERB	11	parataxis
18	v	ADP	19	case
19	zrcadle	NOUN	17	obl
20	)	PUNCT	17	punct
21	a	CCONJ	22	cc
22	zabití	NOUN	11	conj
23	citu	NOUN	22	nmod
24	kupou	NOUN	22	nmod
25	frází	NOUN	24	nmod
26	.	PUNCT	3	punct