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:
Vláda po počátečním taktickém odporu ministra Rubáše bude souhlasit s valorizací bodu o 49 % a na oplátku nebude komora protestovat proti připravovanému zrušení lékařských fakult.
Postion	Tokenization
1	Vláda
2	po
3	počátečním
4	taktickém
5	odporu
6	ministra
7	Rubáše
8	bude
9	souhlasit
10	s
11	valorizací
12	bodu
13	o
14	49
15	%
16	a
17	na
18	oplátku
19	nebude
20	komora
21	protestovat
22	proti
23	připravovanému
24	zrušení
25	lékařských
26	fakult
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Vláda	NOUN	9	nsubj
2	po	ADP	5	case
3	počátečním	ADJ	5	amod
4	taktickém	ADJ	5	amod
5	odporu	NOUN	9	obl
6	ministra	NOUN	5	nmod
7	Rubáše	PROPN	6	flat
8	bude	AUX	9	aux
9	souhlasit	VERB	0	root
10	s	ADP	11	case
11	valorizací	NOUN	9	obl:arg
12	bodu	NOUN	11	nmod
13	o	ADP	14	case
14	49	NUM	11	nummod
15	%	SYM	14	nmod
16	a	CCONJ	21	cc
17	na	ADP	18	case
18	oplátku	NOUN	21	obl
19	nebude	AUX	21	aux
20	komora	NOUN	21	nsubj
21	protestovat	VERB	9	conj
22	proti	ADP	24	case
23	připravovanému	ADJ	24	amod
24	zrušení	NOUN	21	obl:arg
25	lékařských	ADJ	26	amod
26	fakult	NOUN	24	nmod
27	.	PUNCT	9	punct