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:
Vedoucí oddělení zbožových licencí ministerstva Zdeněk Průcha: "Nemáme právo licence nevydat, sloužíme spíš k monitorování toho, kolik vína se k nám vlastně doveze."
Postion	Tokenization
1	Vedoucí
2	oddělení
3	zbožových
4	licencí
5	ministerstva
6	Zdeněk
7	Průcha
8	:
9	"
10	Nemáme
11	právo
12	licence
13	nevydat
14	,
15	sloužíme
16	spíš
17	k
18	monitorování
19	toho
20	,
21	kolik
22	vína
23	se
24	k
25	nám
26	vlastně
27	doveze
28	.
29	"
Position	Tokenization	UPOS	Head	Deprel
1	Vedoucí	NOUN	0	root
2	oddělení	NOUN	1	nmod
3	zbožových	ADJ	4	amod
4	licencí	NOUN	2	nmod
5	ministerstva	NOUN	4	nmod
6	Zdeněk	PROPN	1	flat
7	Průcha	PROPN	1	flat
8	:	PUNCT	1	punct
9	"	PUNCT	10	punct
10	Nemáme	VERB	1	appos
11	právo	NOUN	10	obj
12	licence	NOUN	13	obj
13	nevydat	VERB	11	acl
14	,	PUNCT	15	punct
15	sloužíme	VERB	10	conj
16	spíš	ADV	15	advmod
17	k	ADP	18	case
18	monitorování	NOUN	15	obl:arg
19	toho	DET	18	amod
20	,	PUNCT	27	punct
21	kolik	DET	22	det:numgov
22	vína	NOUN	27	nsubj:pass
23	se	PRON	27	expl:pass
24	k	ADP	25	case
25	nám	PRON	27	obl
26	vlastně	ADV	27	advmod
27	doveze	VERB	19	acl
28	.	PUNCT	1	punct
29	"	PUNCT	1	punct