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:
V. Černomyrdin totiž přijíždí do Varšavy ve chvíli, kdy vláda Waldemara Pawlaka je na odchodu a nová vláda designovaného premiéra Józefa Oleksyho se teprve tvoří.
Postion	Tokenization
1	V
2	.
3	Černomyrdin
4	totiž
5	přijíždí
6	do
7	Varšavy
8	ve
9	chvíli
10	,
11	kdy
12	vláda
13	Waldemara
14	Pawlaka
15	je
16	na
17	odchodu
18	a
19	nová
20	vláda
21	designovaného
22	premiéra
23	Józefa
24	Oleksyho
25	se
26	teprve
27	tvoří
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	PROPN	5	nsubj
2	.	PUNCT	1	punct
3	Černomyrdin	PROPN	1	flat
4	totiž	ADV	5	advmod
5	přijíždí	VERB	0	root
6	do	ADP	7	case
7	Varšavy	PROPN	5	obl
8	ve	ADP	9	case
9	chvíli	NOUN	5	obl
10	,	PUNCT	15	punct
11	kdy	ADV	15	advmod
12	vláda	NOUN	15	nsubj
13	Waldemara	PROPN	12	nmod
14	Pawlaka	PROPN	13	flat
15	je	VERB	9	acl:relcl
16	na	ADP	17	case
17	odchodu	NOUN	15	obl
18	a	CCONJ	27	cc
19	nová	ADJ	20	amod
20	vláda	NOUN	27	nsubj:pass
21	designovaného	ADJ	22	amod
22	premiéra	NOUN	20	nmod
23	Józefa	PROPN	22	flat
24	Oleksyho	PROPN	22	flat
25	se	PRON	27	expl:pass
26	teprve	ADV	27	advmod
27	tvoří	VERB	15	conj
28	.	PUNCT	5	punct