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:
Protože není lákavé pro novináře, když se třeba mateřská školka, sportovní zařízení či byty z majetku bývalého podniku účetně jednoduše papírově přepíšou na magistrát.
Postion	Tokenization
1	Protože
2	není
3	lákavé
4	pro
5	novináře
6	,
7	když
8	se
9	třeba
10	mateřská
11	školka
12	,
13	sportovní
14	zařízení
15	či
16	byty
17	z
18	majetku
19	bývalého
20	podniku
21	účetně
22	jednoduše
23	papírově
24	přepíšou
25	na
26	magistrát
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Protože	SCONJ	3	mark
2	není	AUX	3	cop
3	lákavé	ADJ	0	root
4	pro	ADP	5	case
5	novináře	NOUN	3	obl
6	,	PUNCT	24	punct
7	když	SCONJ	24	mark
8	se	PRON	24	expl:pass
9	třeba	ADV	11	advmod:emph
10	mateřská	ADJ	11	amod
11	školka	NOUN	24	nsubj:pass
12	,	PUNCT	14	punct
13	sportovní	ADJ	14	amod
14	zařízení	NOUN	11	conj
15	či	CCONJ	16	cc
16	byty	NOUN	11	conj
17	z	ADP	18	case
18	majetku	NOUN	11	nmod
19	bývalého	ADJ	20	amod
20	podniku	NOUN	18	nmod
21	účetně	ADV	24	advmod
22	jednoduše	ADV	24	advmod
23	papírově	ADV	24	advmod
24	přepíšou	VERB	3	csubj
25	na	ADP	26	case
26	magistrát	NOUN	24	obl
27	.	PUNCT	3	punct