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:
Tvorbu italského režiséra Federika Felliniho, držitele pěti Oscarů, představí přehlídka jeho filmů, která se od 9. do 18.květnauskuteční v pražském kině Lucerna.
Postion	Tokenization
1	Tvorbu
2	italského
3	režiséra
4	Federika
5	Felliniho
6	,
7	držitele
8	pěti
9	Oscarů
10	,
11	představí
12	přehlídka
13	jeho
14	filmů
15	,
16	která
17	se
18	od
19	9
20	.
21	do
22	18
23	.
24	května
25	uskuteční
26	v
27	pražském
28	kině
29	Lucerna
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tvorbu	NOUN	11	obj
2	italského	ADJ	3	amod
3	režiséra	NOUN	1	nmod
4	Federika	PROPN	3	flat
5	Felliniho	PROPN	3	flat
6	,	PUNCT	7	punct
7	držitele	NOUN	3	appos
8	pěti	NUM	9	nummod
9	Oscarů	PROPN	7	nmod
10	,	PUNCT	7	punct
11	představí	VERB	0	root
12	přehlídka	NOUN	11	nsubj
13	jeho	DET	14	det
14	filmů	NOUN	12	nmod
15	,	PUNCT	25	punct
16	která	DET	25	nsubj:pass
17	se	PRON	25	expl:pass
18	od	ADP	19	case
19	9	NUM	25	obl
20	.	PUNCT	19	punct
21	do	ADP	24	case
22	18	NUM	24	nummod
23	.	PUNCT	22	punct
24	května	NOUN	25	obl
25	uskuteční	VERB	12	acl:relcl
26	v	ADP	28	case
27	pražském	ADJ	28	amod
28	kině	NOUN	25	obl
29	Lucerna	NOUN	28	nmod
30	.	PUNCT	11	punct