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: Pro nás je výstava zajímavá i tím, že se u Wagnera vyučila řada českých žáků, kteří přenesli jeho architektonickou estetiku do pražského prostředí a poznamenali jí jeho podobu, takže výstavu vnímáme jako něco důvěrně známého.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	2	case
2	nás	PRON	5	obl
3	je	AUX	5	cop
4	výstava	NOUN	5	nsubj
5	zajímavá	ADJ	0	root
6	i	CCONJ	7	advmod:emph
7	tím	DET	5	obl:arg
8	,	PUNCT	13	punct
9	že	SCONJ	13	mark
10	se	PRON	13	expl:pv
11	u	ADP	12	case
12	Wagnera	PROPN	13	obl
13	vyučila	VERB	7	ccomp
14	řada	NOUN	13	nsubj
15	českých	ADJ	16	amod
16	žáků	NOUN	14	nmod
17	,	PUNCT	19	punct
18	kteří	DET	19	nsubj
19	přenesli	VERB	16	acl:relcl
20	jeho	DET	22	det
21	architektonickou	ADJ	22	amod
22	estetiku	NOUN	19	obj
23	do	ADP	25	case
24	pražského	ADJ	25	amod
25	prostředí	NOUN	19	obl
26	a	CCONJ	27	cc
27	poznamenali	VERB	19	conj
28	jí	PRON	27	obl:arg
29	jeho	DET	30	det
30	podobu	NOUN	27	obj
31	,	PUNCT	34	punct
32	takže	SCONJ	34	mark
33	výstavu	NOUN	34	obj
34	vnímáme	VERB	19	advcl
35	jako	SCONJ	36	mark
36	něco	PRON	34	advcl
37	důvěrně	ADV	38	advmod
38	známého	ADJ	36	amod
39	.	PUNCT	5	punct