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: Zvláštní cenou poroty - Stříbrným medvědem (a novinářskou cenou FIPRESCI) byl - s přihlédnutím k hereckému výkonu Harveyho Keitela - oceněn festivalový hit Kouření (Smoke), který v USA natočil hongkongský režisér Wayne Wang.
Position	Tokenization	UPOS	Head	Deprel
1	Zvláštní	ADJ	2	amod
2	cenou	NOUN	23	obl
3	poroty	NOUN	2	nmod
4	-	PUNCT	6	punct
5	Stříbrným	ADJ	6	amod
6	medvědem	NOUN	2	appos
7	(	PUNCT	11	punct
8	a	CCONJ	11	cc
9	novinářskou	ADJ	10	amod
10	cenou	NOUN	11	nmod
11	FIPRESCI	PROPN	2	conj
12	)	PUNCT	11	punct
13	byl	AUX	23	aux:pass
14	-	PUNCT	16	punct
15	s	ADP	16	case
16	přihlédnutím	NOUN	23	obl
17	k	ADP	19	case
18	hereckému	ADJ	19	amod
19	výkonu	NOUN	16	nmod
20	Harveyho	PROPN	19	nmod
21	Keitela	PROPN	20	flat
22	-	PUNCT	16	punct
23	oceněn	ADJ	0	root
24	festivalový	ADJ	25	amod
25	hit	NOUN	23	nsubj:pass
26	Kouření	NOUN	25	nmod
27	(	PUNCT	28	punct
28	Smoke	NOUN	26	appos
29	)	PUNCT	28	punct
30	,	PUNCT	34	punct
31	který	DET	34	obj
32	v	ADP	33	case
33	USA	PROPN	34	obl
34	natočil	VERB	25	acl:relcl
35	hongkongský	ADJ	36	amod
36	režisér	NOUN	34	nsubj
37	Wayne	PROPN	36	flat
38	Wang	PROPN	36	flat
39	.	PUNCT	23	punct