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:
V programu se objeví například film Smoking/No smoking francouzského režiséra A. Resnaise, snímek Milý deníčku italského režiséra N. Morettiho nebo Výkřik z kamene německého tvůrce W. Herzoga.
Postion	Tokenization
1	V
2	programu
3	se
4	objeví
5	například
6	film
7	Smoking
8	/
9	No
10	smoking
11	francouzského
12	režiséra
13	A
14	.
15	Resnaise
16	,
17	snímek
18	Milý
19	deníčku
20	italského
21	režiséra
22	N
23	.
24	Morettiho
25	nebo
26	Výkřik
27	z
28	kamene
29	německého
30	tvůrce
31	W
32	.
33	Herzoga
34	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	programu	NOUN	4	obl
3	se	PRON	4	expl:pv
4	objeví	VERB	0	root
5	například	ADV	6	advmod:emph
6	film	NOUN	4	nsubj
7	Smoking	NOUN	6	nmod
8	/	PUNCT	10	punct
9	No	PART	10	nmod
10	smoking	NOUN	7	conj
11	francouzského	ADJ	12	amod
12	režiséra	NOUN	6	nmod
13	A	PROPN	12	nmod
14	.	PUNCT	13	punct
15	Resnaise	PROPN	13	flat
16	,	PUNCT	17	punct
17	snímek	NOUN	6	conj
18	Milý	ADJ	19	amod
19	deníčku	NOUN	17	nmod
20	italského	ADJ	21	amod
21	režiséra	NOUN	17	nmod
22	N	PROPN	21	flat
23	.	PUNCT	22	punct
24	Morettiho	PROPN	21	flat
25	nebo	CCONJ	26	cc
26	Výkřik	NOUN	6	conj
27	z	ADP	28	case
28	kamene	NOUN	26	nmod
29	německého	ADJ	30	amod
30	tvůrce	NOUN	26	nmod
31	W	PROPN	30	flat
32	.	PUNCT	31	punct
33	Herzoga	PROPN	30	flat
34	.	PUNCT	4	punct