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:
Stavby jsou na nich viděny v celkových pohledech, v urbanistických souvislostech i v signifikantních detailech a v úhrnu Zednicekovy záběry nabízejí hluboce zasvěcenou četbu Wagnerova díla.
Postion	Tokenization
1	Stavby
2	jsou
3	na
4	nich
5	viděny
6	v
7	celkových
8	pohledech
9	,
10	v
11	urbanistických
12	souvislostech
13	i
14	v
15	signifikantních
16	detailech
17	a
18	v
19	úhrnu
20	Zednicekovy
21	záběry
22	nabízejí
23	hluboce
24	zasvěcenou
25	četbu
26	Wagnerova
27	díla
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Stavby	NOUN	5	nsubj:pass
2	jsou	AUX	5	aux:pass
3	na	ADP	4	case
4	nich	PRON	5	obl
5	viděny	ADJ	0	root
6	v	ADP	8	case
7	celkových	ADJ	8	amod
8	pohledech	NOUN	5	obl
9	,	PUNCT	12	punct
10	v	ADP	12	case
11	urbanistických	ADJ	12	amod
12	souvislostech	NOUN	8	conj
13	i	CCONJ	16	cc
14	v	ADP	16	case
15	signifikantních	ADJ	16	amod
16	detailech	NOUN	8	conj
17	a	CCONJ	22	cc
18	v	ADP	19	case
19	úhrnu	NOUN	22	obl
20	Zednicekovy	ADJ	21	amod
21	záběry	NOUN	22	nsubj
22	nabízejí	VERB	5	conj
23	hluboce	ADV	24	advmod
24	zasvěcenou	ADJ	25	amod
25	četbu	NOUN	22	obj
26	Wagnerova	ADJ	27	amod
27	díla	NOUN	25	nmod
28	.	PUNCT	5	punct