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:
Stříbrné medvědy za nejlepší herecké výkony získali Paul Newman (za kreaci v americké komedii Žádný blázen) a hongkongská herečka Josephine Siaová (za roli ve filmu Letní sníh).
Postion	Tokenization
1	Stříbrné
2	medvědy
3	za
4	nejlepší
5	herecké
6	výkony
7	získali
8	Paul
9	Newman
10	(
11	za
12	kreaci
13	v
14	americké
15	komedii
16	Žádný
17	blázen
18	)
19	a
20	hongkongská
21	herečka
22	Josephine
23	Siaová
24	(
25	za
26	roli
27	ve
28	filmu
29	Letní
30	sníh
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Stříbrné	ADJ	2	amod
2	medvědy	NOUN	7	obj
3	za	ADP	6	case
4	nejlepší	ADJ	6	amod
5	herecké	ADJ	6	amod
6	výkony	NOUN	2	nmod
7	získali	VERB	0	root
8	Paul	PROPN	7	nsubj
9	Newman	PROPN	8	flat
10	(	PUNCT	8	punct
11	za	ADP	12	case
12	kreaci	NOUN	8	dep
13	v	ADP	15	case
14	americké	ADJ	15	amod
15	komedii	NOUN	12	nmod
16	Žádný	DET	17	det
17	blázen	NOUN	15	nmod
18	)	PUNCT	8	punct
19	a	CCONJ	21	cc
20	hongkongská	ADJ	21	amod
21	herečka	NOUN	8	conj
22	Josephine	PROPN	21	flat
23	Siaová	PROPN	21	flat
24	(	PUNCT	21	punct
25	za	ADP	26	case
26	roli	NOUN	21	dep
27	ve	ADP	28	case
28	filmu	NOUN	26	nmod
29	Letní	ADJ	30	amod
30	sníh	NOUN	28	nmod
31	)	PUNCT	21	punct
32	.	PUNCT	7	punct