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:
Oba představitelé se rovněž vyslovili pro častější kontakty, rozvoj bilaterální spolupráce a pro vzájemnou podporu v zahraničněpolitické oblasti při směřování obou zemí do Evropské unie.
Postion	Tokenization
1	Oba
2	představitelé
3	se
4	rovněž
5	vyslovili
6	pro
7	častější
8	kontakty
9	,
10	rozvoj
11	bilaterální
12	spolupráce
13	a
14	pro
15	vzájemnou
16	podporu
17	v
18	zahraničněpolitické
19	oblasti
20	při
21	směřování
22	obou
23	zemí
24	do
25	Evropské
26	unie
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Oba	NUM	2	nummod
2	představitelé	NOUN	5	nsubj
3	se	PRON	5	expl:pv
4	rovněž	ADV	5	advmod
5	vyslovili	VERB	0	root
6	pro	ADP	8	case
7	častější	ADJ	8	amod
8	kontakty	NOUN	16	obl
9	,	PUNCT	10	punct
10	rozvoj	NOUN	8	conj
11	bilaterální	ADJ	12	amod
12	spolupráce	NOUN	10	nmod
13	a	CCONJ	16	cc
14	pro	ADP	16	case
15	vzájemnou	ADJ	16	amod
16	podporu	NOUN	5	obl
17	v	ADP	19	case
18	zahraničněpolitické	ADJ	19	amod
19	oblasti	NOUN	16	nmod
20	při	ADP	21	case
21	směřování	NOUN	16	nmod
22	obou	NUM	23	nummod
23	zemí	NOUN	21	nmod
24	do	ADP	26	case
25	Evropské	ADJ	26	amod
26	unie	NOUN	21	nmod
27	.	PUNCT	5	punct