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:
Problém je v tom, že značné procento humoru vychází ze specifik té které země a do jiného jazyka či teritoria je nepřenosné," dodává Balvín.
Postion	Tokenization
1	Problém
2	je
3	v
4	tom
5	,
6	že
7	značné
8	procento
9	humoru
10	vychází
11	ze
12	specifik
13	té
14	které
15	země
16	a
17	do
18	jiného
19	jazyka
20	či
21	teritoria
22	je
23	nepřenosné
24	,
25	"
26	dodává
27	Balvín
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Problém	NOUN	2	nsubj
2	je	VERB	26	ccomp
3	v	ADP	4	case
4	tom	DET	2	obl
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	značné	ADJ	8	amod
8	procento	NOUN	10	nsubj
9	humoru	NOUN	8	nmod
10	vychází	VERB	4	acl
11	ze	ADP	12	case
12	specifik	NOUN	10	obl
13	té	DET	15	det
14	které	DET	15	det
15	země	NOUN	12	nmod
16	a	CCONJ	23	cc
17	do	ADP	19	case
18	jiného	ADJ	19	amod
19	jazyka	NOUN	23	obl
20	či	CCONJ	21	cc
21	teritoria	NOUN	19	conj
22	je	AUX	23	cop
23	nepřenosné	ADJ	10	conj
24	,	PUNCT	2	punct
25	"	PUNCT	2	punct
26	dodává	VERB	0	root
27	Balvín	PROPN	26	nsubj
28	.	PUNCT	26	punct