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:
Vyzývám ho proto jako ministra české vlády, aby neumožnil koncepcí kupónové privatizace převést český majetek do Slovenské republiky a tím ochudit občany České republiky.
Postion	Tokenization
1	Vyzývám
2	ho
3	proto
4	jako
5	ministra
6	české
7	vlády
8	,
9	aby
10	aby
11	by
12	neumožnil
13	koncepcí
14	kupónové
15	privatizace
16	převést
17	český
18	majetek
19	do
20	Slovenské
21	republiky
22	a
23	tím
24	ochudit
25	občany
26	České
27	republiky
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyzývám	VERB	0	root
2	ho	PRON	1	iobj
3	proto	CCONJ	1	advmod
4	jako	SCONJ	5	mark
5	ministra	NOUN	2	xcomp
6	české	ADJ	7	amod
7	vlády	NOUN	5	nmod
8	,	PUNCT	11	punct
9	aby	_	None	_
10	aby	SCONJ	11	mark
11	by	AUX	11	aux
12	neumožnil	VERB	1	ccomp
13	koncepcí	NOUN	11	obl
14	kupónové	ADJ	14	amod
15	privatizace	NOUN	12	nmod
16	převést	VERB	11	xcomp
17	český	ADJ	17	amod
18	majetek	NOUN	15	obj
19	do	ADP	20	case
20	Slovenské	ADJ	20	amod
21	republiky	NOUN	15	obl
22	a	CCONJ	23	cc
23	tím	DET	23	obl
24	ochudit	VERB	15	conj
25	občany	NOUN	23	obj
26	České	ADJ	26	amod
27	republiky	NOUN	24	nmod
28	.	PUNCT	1	punct