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 text: Jiří Vojta z cenového odboru federálního ministerstva financí nám včera ke zvýšení daně z obratu u benzínu řekl: "Po zvýšení daně bude cena benzínu Special na té úrovni, na jakou by se dostala po zavedení daně z přidané hodnoty od 1. ledna 1993.
Position	Tokenization	UPOS	Head	Deprel
1	Jiří	PROPN	18	nsubj
2	Vojta	PROPN	1	flat
3	z	ADP	5	case
4	cenového	ADJ	5	amod
5	odboru	NOUN	1	nmod
6	federálního	ADJ	7	amod
7	ministerstva	NOUN	5	nmod
8	financí	NOUN	7	nmod
9	nám	PRON	18	obl:arg
10	včera	ADV	18	advmod
11	ke	ADP	12	case
12	zvýšení	NOUN	18	obl
13	daně	NOUN	12	nmod
14	z	ADP	15	case
15	obratu	NOUN	13	nmod
16	u	ADP	17	case
17	benzínu	NOUN	13	nmod
18	řekl	VERB	0	root
19	:	PUNCT	24	punct
20	"	PUNCT	24	punct
21	Po	ADP	22	case
22	zvýšení	NOUN	24	obl
23	daně	NOUN	22	nmod
24	bude	VERB	18	ccomp
25	cena	NOUN	24	nsubj
26	benzínu	NOUN	25	nmod
27	Special	NOUN	26	nmod
28	na	ADP	30	case
29	té	DET	30	det
30	úrovni	NOUN	24	obl
31	,	PUNCT	36	punct
32	na	ADP	33	case
33	jakou	DET	36	obl
34	by	AUX	36	aux
35	se	PRON	36	expl:pv
36	dostala	VERB	30	acl:relcl
37	po	ADP	38	case
38	zavedení	NOUN	36	obl
39	daně	NOUN	38	nmod
40	z	ADP	42	case
41	přidané	ADJ	42	amod
42	hodnoty	NOUN	39	nmod
43	od	ADP	46	case
44	1	NUM	46	nummod
45	.	PUNCT	44	punct
46	ledna	NOUN	38	nmod
47	1993	NUM	46	nummod
48	.	PUNCT	18	punct