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:
Hvězda americké kinematografie Tom Cruise osobně uvede 10. března v pražském kině Blaník premiéru filmu Neila Jordana Interview s upírem, natočeného podle slavné předlohy Anne Riceové.
Postion	Tokenization
1	Hvězda
2	americké
3	kinematografie
4	Tom
5	Cruise
6	osobně
7	uvede
8	10
9	.
10	března
11	v
12	pražském
13	kině
14	Blaník
15	premiéru
16	filmu
17	Neila
18	Jordana
19	Interview
20	s
21	upírem
22	,
23	natočeného
24	podle
25	slavné
26	předlohy
27	Anne
28	Riceové
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Hvězda	NOUN	4	nmod
2	americké	ADJ	3	amod
3	kinematografie	NOUN	1	nmod
4	Tom	PROPN	7	nsubj
5	Cruise	PROPN	4	flat
6	osobně	ADV	7	advmod
7	uvede	VERB	0	root
8	10	NUM	10	nummod
9	.	PUNCT	8	punct
10	března	NOUN	7	obl
11	v	ADP	13	case
12	pražském	ADJ	13	amod
13	kině	NOUN	7	obl
14	Blaník	PROPN	13	nmod
15	premiéru	NOUN	7	obj
16	filmu	NOUN	15	nmod
17	Neila	PROPN	16	nmod
18	Jordana	PROPN	17	flat
19	Interview	NOUN	16	nmod
20	s	ADP	21	case
21	upírem	NOUN	19	nmod
22	,	PUNCT	23	punct
23	natočeného	ADJ	16	amod
24	podle	ADP	26	case
25	slavné	ADJ	26	amod
26	předlohy	NOUN	23	obl
27	Anne	PROPN	26	nmod
28	Riceové	PROPN	27	flat
29	.	PUNCT	7	punct