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:
Tezi, že čím menší podíl státního rozpočtu na hrubém domácím produktu, tím zdravější ekonomika je, nezpochybnil nedávno v rozhovoru s LN ani Ivan Kočárník.
Postion	Tokenization
1	Tezi
2	,
3	že
4	čím
5	menší
6	podíl
7	státního
8	rozpočtu
9	na
10	hrubém
11	domácím
12	produktu
13	,
14	tím
15	zdravější
16	ekonomika
17	je
18	,
19	nezpochybnil
20	nedávno
21	v
22	rozhovoru
23	s
24	LN
25	ani
26	Ivan
27	Kočárník
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Tezi	NOUN	19	obj
2	,	PUNCT	15	punct
3	že	SCONJ	15	mark
4	čím	PRON	5	obl
5	menší	ADJ	14	dep
6	podíl	NOUN	14	dep
7	státního	ADJ	8	amod
8	rozpočtu	NOUN	6	nmod
9	na	ADP	12	case
10	hrubém	ADJ	12	amod
11	domácím	ADJ	12	amod
12	produktu	NOUN	6	nmod
13	,	PUNCT	14	punct
14	tím	DET	15	obl
15	zdravější	ADJ	1	acl
16	ekonomika	NOUN	15	nsubj
17	je	AUX	15	cop
18	,	PUNCT	19	punct
19	nezpochybnil	VERB	0	root
20	nedávno	ADV	19	advmod
21	v	ADP	22	case
22	rozhovoru	NOUN	19	obl
23	s	ADP	24	case
24	LN	PROPN	22	nmod
25	ani	CCONJ	26	advmod:emph
26	Ivan	PROPN	19	nsubj
27	Kočárník	PROPN	26	flat
28	.	PUNCT	19	punct