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:
Přehlídka mateřských školek postavených během posledních let ve velikém německém městě se zdá být téma přitažlivé spíše pro pedagogy, sociology a psychology než pro milovníky architektury.
Postion	Tokenization
1	Přehlídka
2	mateřských
3	školek
4	postavených
5	během
6	posledních
7	let
8	ve
9	velikém
10	německém
11	městě
12	se
13	zdá
14	být
15	téma
16	přitažlivé
17	spíše
18	pro
19	pedagogy
20	,
21	sociology
22	a
23	psychology
24	než
25	pro
26	milovníky
27	architektury
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Přehlídka	NOUN	13	nsubj
2	mateřských	ADJ	3	amod
3	školek	NOUN	1	nmod
4	postavených	ADJ	3	amod
5	během	ADP	7	case
6	posledních	ADJ	7	amod
7	let	NOUN	4	obl
8	ve	ADP	11	case
9	velikém	ADJ	11	amod
10	německém	ADJ	11	amod
11	městě	NOUN	4	obl
12	se	PRON	13	expl:pv
13	zdá	VERB	0	root
14	být	AUX	15	cop
15	téma	NOUN	13	xcomp
16	přitažlivé	ADJ	15	amod
17	spíše	ADV	16	advmod
18	pro	ADP	19	case
19	pedagogy	NOUN	16	obl
20	,	PUNCT	21	punct
21	sociology	NOUN	19	conj
22	a	CCONJ	23	cc
23	psychology	NOUN	19	conj
24	než	SCONJ	26	mark
25	pro	ADP	26	case
26	milovníky	NOUN	17	dep
27	architektury	NOUN	26	nmod
28	.	PUNCT	13	punct