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 text: Ještě v září budou za osobní účasti autorů zahájeny také výstavy Helmuta Newtona (v galerii institutu), Daniela Burena (v Roztokách) a Christiana Boltanského (v Belvederu a Míčovně Pražského hradu).
Position	Tokenization	UPOS	Head	Deprel
1	Ještě	ADV	3	advmod:emph
2	v	ADP	3	case
3	září	NOUN	9	obl
4	budou	AUX	9	aux:pass
5	za	ADP	7	case
6	osobní	ADJ	7	amod
7	účasti	NOUN	9	obl
8	autorů	NOUN	7	nmod
9	zahájeny	ADJ	0	root
10	také	ADV	11	advmod:emph
11	výstavy	NOUN	9	nsubj:pass
12	Helmuta	PROPN	11	nmod
13	Newtona	PROPN	12	flat
14	(	PUNCT	12	punct
15	v	ADP	16	case
16	galerii	NOUN	12	dep
17	institutu	NOUN	16	nmod
18	)	PUNCT	12	punct
19	,	PUNCT	20	punct
20	Daniela	PROPN	12	conj
21	Burena	PROPN	20	flat
22	(	PUNCT	20	punct
23	v	ADP	24	case
24	Roztokách	PROPN	20	dep
25	)	PUNCT	20	punct
26	a	CCONJ	28	cc
27	Christiana	PROPN	28	obl
28	Boltanského	PROPN	12	conj
29	(	PUNCT	31	punct
30	v	ADP	31	case
31	Belvederu	PROPN	28	dep
32	a	CCONJ	33	cc
33	Míčovně	NOUN	31	conj
34	Pražského	ADJ	35	amod
35	hradu	NOUN	33	nmod
36	)	PUNCT	31	punct
37	.	PUNCT	9	punct