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:
John Pinder patří mezi významné odborníky a přední znalce vývoje problematiky evropské integrace a vztahů EU se státy střední a východní Evropy.
Postion	Tokenization
1	John
2	Pinder
3	patří
4	mezi
5	významné
6	odborníky
7	a
8	přední
9	znalce
10	vývoje
11	problematiky
12	evropské
13	integrace
14	a
15	vztahů
16	EU
17	se
18	státy
19	střední
20	a
21	východní
22	Evropy
23	.
Position	Tokenization	UPOS	Head	Deprel
1	John	PROPN	3	nsubj
2	Pinder	PROPN	1	flat
3	patří	VERB	0	root
4	mezi	ADP	6	case
5	významné	ADJ	6	amod
6	odborníky	NOUN	3	obl
7	a	CCONJ	9	cc
8	přední	ADJ	9	amod
9	znalce	NOUN	6	conj
10	vývoje	NOUN	9	nmod
11	problematiky	NOUN	10	nmod
12	evropské	ADJ	13	amod
13	integrace	NOUN	11	nmod
14	a	CCONJ	15	cc
15	vztahů	NOUN	13	conj
16	EU	PROPN	15	nmod
17	se	ADP	18	case
18	státy	NOUN	15	nmod
19	střední	ADJ	22	amod
20	a	CCONJ	21	cc
21	východní	ADJ	19	conj
22	Evropy	PROPN	18	nmod
23	.	PUNCT	3	punct