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:
Po multimediálním sympoziu Hermit se od 2. do 4. září uskuteční setkání nazvané Feedback (Zpětná vazba), které pořádá spolek pro umění Giannozzo z Berlína.
Postion	Tokenization
1	Po
2	multimediálním
3	sympoziu
4	Hermit
5	se
6	od
7	2
8	.
9	do
10	4
11	.
12	září
13	uskuteční
14	setkání
15	nazvané
16	Feedback
17	(
18	Zpětná
19	vazba
20	)
21	,
22	které
23	pořádá
24	spolek
25	pro
26	umění
27	Giannozzo
28	z
29	Berlína
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	3	case
2	multimediálním	ADJ	3	amod
3	sympoziu	NOUN	13	obl
4	Hermit	PROPN	3	nmod
5	se	PRON	13	expl:pass
6	od	ADP	7	case
7	2	NUM	13	dep
8	.	PUNCT	7	punct
9	do	ADP	12	case
10	4	NUM	12	nummod
11	.	PUNCT	10	punct
12	září	NOUN	13	obl
13	uskuteční	VERB	0	root
14	setkání	NOUN	13	nsubj:pass
15	nazvané	ADJ	14	amod
16	Feedback	NOUN	15	obl
17	(	PUNCT	19	punct
18	Zpětná	ADJ	19	amod
19	vazba	NOUN	16	appos
20	)	PUNCT	19	punct
21	,	PUNCT	23	punct
22	které	DET	23	obj
23	pořádá	VERB	14	acl:relcl
24	spolek	NOUN	23	nsubj
25	pro	ADP	26	case
26	umění	NOUN	24	nmod
27	Giannozzo	PROPN	24	nmod
28	z	ADP	29	case
29	Berlína	PROPN	27	nmod
30	.	PUNCT	13	punct