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:
Ve dnech 14. - 16 . září se ve Vídni koná 4. mezinárodní kongres Počítač pro postižené, zaměřený na začlenění postižených občanů do normálního života.
Postion	Tokenization
1	Ve
2	dnech
3	14
4	.
5	-
6	16
7	.
8	září
9	se
10	ve
11	Vídni
12	koná
13	4
14	.
15	mezinárodní
16	kongres
17	Počítač
18	pro
19	postižené
20	,
21	zaměřený
22	na
23	začlenění
24	postižených
25	občanů
26	do
27	normálního
28	života
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	dnech	NOUN	12	obl
3	14	NUM	8	nummod
4	.	PUNCT	3	punct
5	-	PUNCT	6	punct
6	16	NUM	3	conj
7	.	PUNCT	6	punct
8	září	NOUN	2	nmod
9	se	PRON	12	expl:pv
10	ve	ADP	11	case
11	Vídni	PROPN	12	obl
12	koná	VERB	0	root
13	4	NUM	16	nummod
14	.	PUNCT	13	punct
15	mezinárodní	ADJ	16	amod
16	kongres	NOUN	12	nsubj
17	Počítač	NOUN	16	nmod
18	pro	ADP	19	case
19	postižené	ADJ	17	amod
20	,	PUNCT	21	punct
21	zaměřený	ADJ	16	amod
22	na	ADP	23	case
23	začlenění	NOUN	21	obl:arg
24	postižených	ADJ	25	amod
25	občanů	NOUN	23	nmod
26	do	ADP	28	case
27	normálního	ADJ	28	amod
28	života	NOUN	23	nmod
29	.	PUNCT	12	punct