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:
Podle Ježka budou poslanci žádat, aby na rozdíl od loňského roku vládou navržené novely daňových zákonů přišly do parlamentu dříve než návrh rozpočtu.
Postion	Tokenization
1	Podle
2	Ježka
3	budou
4	poslanci
5	žádat
6	,
7	aby
8	aby
9	by
10	na
11	rozdíl
12	od
13	loňského
14	roku
15	vládou
16	navržené
17	novely
18	daňových
19	zákonů
20	přišly
21	do
22	parlamentu
23	dříve
24	než
25	návrh
26	rozpočtu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Ježka	PROPN	5	obl
3	budou	AUX	5	aux
4	poslanci	NOUN	5	nsubj
5	žádat	VERB	0	root
6	,	PUNCT	19	punct
7	aby	_	None	_
8	aby	SCONJ	19	mark
9	by	AUX	19	aux
10	na	ADP	13	case
11	rozdíl	NOUN	9	fixed
12	od	ADP	9	fixed
13	loňského	ADJ	13	amod
14	roku	NOUN	19	obl
15	vládou	NOUN	15	obl:arg
16	navržené	ADJ	16	amod
17	novely	NOUN	19	nsubj
18	daňových	ADJ	18	amod
19	zákonů	NOUN	16	nmod
20	přišly	VERB	5	ccomp
21	do	ADP	21	case
22	parlamentu	NOUN	19	obl
23	dříve	ADV	19	advmod
24	než	SCONJ	24	mark
25	návrh	NOUN	22	advcl
26	rozpočtu	NOUN	24	nmod
27	.	PUNCT	5	punct