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:
Ukrajinský poslanec Pavličko k politice evropských mocností vůči Čečensku * Rusko zůstává obtížnou, ba dokonce nevypočítatelnou veličinou i bez rudých vlajek na střechách.
Postion	Tokenization
1	Ukrajinský
2	poslanec
3	Pavličko
4	k
5	politice
6	evropských
7	mocností
8	vůči
9	Čečensku
10	*
11	Rusko
12	zůstává
13	obtížnou
14	,
15	ba
16	dokonce
17	nevypočítatelnou
18	veličinou
19	i
20	bez
21	rudých
22	vlajek
23	na
24	střechách
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ukrajinský	ADJ	2	amod
2	poslanec	NOUN	0	root
3	Pavličko	PROPN	2	flat
4	k	ADP	5	case
5	politice	NOUN	2	dep
6	evropských	ADJ	7	amod
7	mocností	NOUN	5	nmod
8	vůči	ADP	9	case
9	Čečensku	PROPN	5	nmod
10	*	PUNCT	12	punct
11	Rusko	PROPN	12	nsubj
12	zůstává	VERB	2	dep
13	obtížnou	ADJ	18	amod
14	,	PUNCT	17	punct
15	ba	PART	17	cc
16	dokonce	ADV	17	advmod:emph
17	nevypočítatelnou	ADJ	13	conj
18	veličinou	NOUN	12	obl:arg
19	i	CCONJ	22	advmod:emph
20	bez	ADP	22	case
21	rudých	ADJ	22	amod
22	vlajek	NOUN	12	obl
23	na	ADP	24	case
24	střechách	NOUN	22	nmod
25	.	PUNCT	2	punct