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:
Soutěž zorganizoval generální ředitel UNESCO Federico Mayor v rámci oslav 100. výročí kinematografie, čapkovská adaptace se v konkurenci šestačtyřiceti titulů ze čtyřiceti zemí umístila jako druhá.
Postion	Tokenization
1	Soutěž
2	zorganizoval
3	generální
4	ředitel
5	UNESCO
6	Federico
7	Mayor
8	v
9	rámci
10	oslav
11	100
12	.
13	výročí
14	kinematografie
15	,
16	čapkovská
17	adaptace
18	se
19	v
20	konkurenci
21	šestačtyřiceti
22	titulů
23	ze
24	čtyřiceti
25	zemí
26	umístila
27	jako
28	druhá
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Soutěž	NOUN	2	obj
2	zorganizoval	VERB	0	root
3	generální	ADJ	4	amod
4	ředitel	NOUN	2	nsubj
5	UNESCO	PROPN	4	nmod
6	Federico	PROPN	4	flat
7	Mayor	PROPN	4	flat
8	v	ADP	10	case
9	rámci	NOUN	8	fixed
10	oslav	NOUN	2	obl
11	100	NUM	13	nummod
12	.	PUNCT	11	punct
13	výročí	NOUN	10	nmod
14	kinematografie	NOUN	13	nmod
15	,	PUNCT	26	punct
16	čapkovská	ADJ	17	amod
17	adaptace	NOUN	26	nsubj
18	se	PRON	26	expl:pv
19	v	ADP	20	case
20	konkurenci	NOUN	26	obl
21	šestačtyřiceti	NUM	22	nummod
22	titulů	NOUN	20	nmod
23	ze	ADP	25	case
24	čtyřiceti	NUM	25	nummod
25	zemí	NOUN	22	nmod
26	umístila	VERB	2	conj
27	jako	SCONJ	28	mark
28	druhá	ADJ	17	xcomp
29	.	PUNCT	2	punct