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:
Snad ještě větší zájem vzbudila hvězdná delegace v čele s režisérem Waynem Wangem, herci Harveyem Keitelem a Wiliamem Hurtem, jejichž snímek Kouření (Smoke) se stal nadšeně aplaudovaným festivalovým hitem.
Postion	Tokenization
1	Snad
2	ještě
3	větší
4	zájem
5	vzbudila
6	hvězdná
7	delegace
8	v
9	čele
10	s
11	režisérem
12	Waynem
13	Wangem
14	,
15	herci
16	Harveyem
17	Keitelem
18	a
19	Wiliamem
20	Hurtem
21	,
22	jejichž
23	snímek
24	Kouření
25	(
26	Smoke
27	)
28	se
29	stal
30	nadšeně
31	aplaudovaným
32	festivalovým
33	hitem
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Snad	ADV	5	advmod
2	ještě	ADV	3	advmod:emph
3	větší	ADJ	4	amod
4	zájem	NOUN	5	obj
5	vzbudila	VERB	0	root
6	hvězdná	ADJ	7	amod
7	delegace	NOUN	5	nsubj
8	v	ADP	11	case
9	čele	NOUN	8	fixed
10	s	ADP	8	fixed
11	režisérem	NOUN	7	nmod
12	Waynem	PROPN	11	flat
13	Wangem	PROPN	11	flat
14	,	PUNCT	16	punct
15	herci	NOUN	16	nmod
16	Harveyem	PROPN	11	conj
17	Keitelem	PROPN	16	flat
18	a	CCONJ	19	cc
19	Wiliamem	PROPN	16	conj
20	Hurtem	PROPN	19	flat
21	,	PUNCT	29	punct
22	jejichž	DET	23	det
23	snímek	NOUN	29	nsubj
24	Kouření	NOUN	23	nmod
25	(	PUNCT	26	punct
26	Smoke	NOUN	24	appos
27	)	PUNCT	26	punct
28	se	PRON	29	expl:pv
29	stal	VERB	16	acl:relcl
30	nadšeně	ADV	31	advmod
31	aplaudovaným	ADJ	33	amod
32	festivalovým	ADJ	33	amod
33	hitem	NOUN	29	obl:arg
34	.	PUNCT	5	punct