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: Profesor Svoboda, který právě působí v Itálii, nám v telefonickém rozhovoru svou pozitivní lustraci potvrdil, řekl však, že nijak nesouvisí s jeho rezignací na funkci ředitele Laterny magiky ze dne 30. května;
Position	Tokenization	UPOS	Head	Deprel
1	Profesor	NOUN	17	nsubj
2	Svoboda	PROPN	1	flat
3	,	PUNCT	6	punct
4	který	DET	6	nsubj
5	právě	ADV	6	advmod
6	působí	VERB	1	acl:relcl
7	v	ADP	8	case
8	Itálii	PROPN	6	obl
9	,	PUNCT	6	punct
10	nám	PRON	17	obl:arg
11	v	ADP	13	case
12	telefonickém	ADJ	13	amod
13	rozhovoru	NOUN	17	obl
14	svou	DET	16	det
15	pozitivní	ADJ	16	amod
16	lustraci	NOUN	17	obj
17	potvrdil	VERB	0	root
18	,	PUNCT	19	punct
19	řekl	VERB	17	conj
20	však	CCONJ	19	cc
21	,	PUNCT	24	punct
22	že	SCONJ	24	mark
23	nijak	ADV	24	advmod
24	nesouvisí	VERB	19	ccomp
25	s	ADP	27	case
26	jeho	DET	27	det
27	rezignací	NOUN	24	obl:arg
28	na	ADP	29	case
29	funkci	NOUN	27	nmod
30	ředitele	NOUN	29	nmod
31	Laterny	PROPN	30	nmod
32	magiky	NOUN	31	nmod
33	ze	ADP	34	case
34	dne	NOUN	27	nmod
35	30	NUM	37	nummod
36	.	PUNCT	35	punct
37	května	NOUN	34	nmod
38	;	PUNCT	17	punct