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:
Jeho očité svědectví z oblastí válečných konfliktů či přírodních katastrof přináší od včerejška do 7. března výstava s názvem UDÁLOSTI v Pražském domě fotografie v Husově ulici.
Postion	Tokenization
1	Jeho
2	očité
3	svědectví
4	z
5	oblastí
6	válečných
7	konfliktů
8	či
9	přírodních
10	katastrof
11	přináší
12	od
13	včerejška
14	do
15	7
16	.
17	března
18	výstava
19	s
20	názvem
21	UDÁLOSTI
22	v
23	Pražském
24	domě
25	fotografie
26	v
27	Husově
28	ulici
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	3	det
2	očité	ADJ	3	amod
3	svědectví	NOUN	11	obj
4	z	ADP	5	case
5	oblastí	NOUN	3	nmod
6	válečných	ADJ	7	amod
7	konfliktů	NOUN	5	nmod
8	či	CCONJ	10	cc
9	přírodních	ADJ	10	amod
10	katastrof	NOUN	7	conj
11	přináší	VERB	0	root
12	od	ADP	13	case
13	včerejška	NOUN	11	obl
14	do	ADP	17	case
15	7	NUM	17	nummod
16	.	PUNCT	15	punct
17	března	NOUN	11	obl
18	výstava	NOUN	11	nsubj
19	s	ADP	20	case
20	názvem	NOUN	18	nmod
21	UDÁLOSTI	NOUN	20	nmod
22	v	ADP	24	case
23	Pražském	ADJ	24	amod
24	domě	NOUN	18	nmod
25	fotografie	NOUN	24	nmod
26	v	ADP	28	case
27	Husově	ADJ	28	amod
28	ulici	NOUN	24	nmod
29	.	PUNCT	11	punct