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:
Tak například jeden ze srbských expertů na mezinárodní právo přišel s tvrzením, že uznání určitého státu ještě rozhodně nemusí znamenat i uznání jeho hranic.
Postion	Tokenization
1	Tak
2	například
3	jeden
4	ze
5	srbských
6	expertů
7	na
8	mezinárodní
9	právo
10	přišel
11	s
12	tvrzením
13	,
14	že
15	uznání
16	určitého
17	státu
18	ještě
19	rozhodně
20	nemusí
21	znamenat
22	i
23	uznání
24	jeho
25	hranic
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Tak	CCONJ	10	advmod
2	například	ADV	3	advmod:emph
3	jeden	NUM	10	nsubj
4	ze	ADP	6	case
5	srbských	ADJ	6	amod
6	expertů	NOUN	3	nmod
7	na	ADP	9	case
8	mezinárodní	ADJ	9	amod
9	právo	NOUN	6	nmod
10	přišel	VERB	0	root
11	s	ADP	12	case
12	tvrzením	NOUN	10	obl
13	,	PUNCT	20	punct
14	že	SCONJ	20	mark
15	uznání	NOUN	20	nsubj
16	určitého	ADJ	17	amod
17	státu	NOUN	15	nmod
18	ještě	ADV	20	advmod
19	rozhodně	ADV	20	advmod
20	nemusí	VERB	12	acl
21	znamenat	VERB	20	xcomp
22	i	CCONJ	23	advmod:emph
23	uznání	NOUN	21	obj
24	jeho	DET	25	det
25	hranic	NOUN	23	nmod
26	.	PUNCT	10	punct