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:
Druhý důvod růstu cen, který se ovšem občanů jako přímých spotřebitelů dotkne rychleji, jsou úpravy některých tak zvaných zvláštních sazeb daně z obratu.
Postion	Tokenization
1	Druhý
2	důvod
3	růstu
4	cen
5	,
6	který
7	se
8	ovšem
9	občanů
10	jako
11	přímých
12	spotřebitelů
13	dotkne
14	rychleji
15	,
16	jsou
17	úpravy
18	některých
19	tak
20	zvaných
21	zvláštních
22	sazeb
23	daně
24	z
25	obratu
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Druhý	ADJ	2	amod
2	důvod	NOUN	0	root
3	růstu	NOUN	2	nmod
4	cen	NOUN	3	nmod
5	,	PUNCT	13	punct
6	který	DET	13	nsubj
7	se	PRON	13	expl:pv
8	ovšem	CCONJ	13	cc
9	občanů	NOUN	13	obl:arg
10	jako	SCONJ	12	mark
11	přímých	ADJ	12	amod
12	spotřebitelů	NOUN	9	xcomp
13	dotkne	VERB	2	acl:relcl
14	rychleji	ADV	13	advmod
15	,	PUNCT	13	punct
16	jsou	AUX	2	cop
17	úpravy	NOUN	2	nsubj
18	některých	DET	22	det
19	tak	ADV	20	advmod
20	zvaných	ADJ	22	amod
21	zvláštních	ADJ	22	amod
22	sazeb	NOUN	17	nmod
23	daně	NOUN	22	nmod
24	z	ADP	25	case
25	obratu	NOUN	23	nmod
26	.	PUNCT	2	punct