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:
Do pátku zhlédne mezinárodní porota a veřejnost 91 soutěžních filmů z 20 zemí světa, přičemž československou kinematografii zastupuje téměř 50 snímků v obou kategoriích - filmy do 30 minut a šoty do tří minut.
Postion	Tokenization
1	Do
2	pátku
3	zhlédne
4	mezinárodní
5	porota
6	a
7	veřejnost
8	91
9	soutěžních
10	filmů
11	z
12	20
13	zemí
14	světa
15	,
16	přičemž
17	československou
18	kinematografii
19	zastupuje
20	téměř
21	50
22	snímků
23	v
24	obou
25	kategoriích
26	-
27	filmy
28	do
29	30
30	minut
31	a
32	šoty
33	do
34	tří
35	minut
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Do	ADP	2	case
2	pátku	NOUN	3	obl
3	zhlédne	VERB	0	root
4	mezinárodní	ADJ	5	amod
5	porota	NOUN	3	nsubj
6	a	CCONJ	7	cc
7	veřejnost	NOUN	5	conj
8	91	NUM	10	nummod:gov
9	soutěžních	ADJ	10	amod
10	filmů	NOUN	3	obj
11	z	ADP	13	case
12	20	NUM	13	nummod
13	zemí	NOUN	10	nmod
14	světa	NOUN	13	nmod
15	,	PUNCT	19	punct
16	přičemž	ADV	19	advmod
17	československou	ADJ	18	amod
18	kinematografii	NOUN	19	obj
19	zastupuje	VERB	3	conj
20	téměř	ADV	21	advmod:emph
21	50	NUM	22	nummod:gov
22	snímků	NOUN	19	nsubj
23	v	ADP	25	case
24	obou	NUM	25	nummod
25	kategoriích	NOUN	21	nmod
26	-	PUNCT	27	punct
27	filmy	NOUN	21	appos
28	do	ADP	30	case
29	30	NUM	30	nummod
30	minut	NOUN	27	nmod
31	a	CCONJ	32	cc
32	šoty	NOUN	27	conj
33	do	ADP	35	case
34	tří	NUM	35	nummod
35	minut	NOUN	32	nmod
36	.	PUNCT	3	punct