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:
Tvrdím tedy, že ústavní zákon o vyrovnaném rozpočtu je největším vynálezem v dějinách světové byrokracie, jak si udržet a ještě rozšířit moc.
Postion	Tokenization
1	Tvrdím
2	tedy
3	,
4	že
5	ústavní
6	zákon
7	o
8	vyrovnaném
9	rozpočtu
10	je
11	největším
12	vynálezem
13	v
14	dějinách
15	světové
16	byrokracie
17	,
18	jak
19	si
20	udržet
21	a
22	ještě
23	rozšířit
24	moc
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Tvrdím	VERB	0	root
2	tedy	ADV	1	advmod
3	,	PUNCT	12	punct
4	že	SCONJ	12	mark
5	ústavní	ADJ	6	amod
6	zákon	NOUN	12	nsubj
7	o	ADP	9	case
8	vyrovnaném	ADJ	9	amod
9	rozpočtu	NOUN	6	nmod
10	je	AUX	12	cop
11	největším	ADJ	12	amod
12	vynálezem	NOUN	1	ccomp
13	v	ADP	14	case
14	dějinách	NOUN	11	obl
15	světové	ADJ	16	amod
16	byrokracie	NOUN	14	nmod
17	,	PUNCT	20	punct
18	jak	ADV	20	advmod
19	si	PRON	20	obl
20	udržet	VERB	12	acl
21	a	CCONJ	23	cc
22	ještě	ADV	23	advmod:emph
23	rozšířit	VERB	20	conj
24	moc	NOUN	23	obj
25	.	PUNCT	1	punct