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:
Proč toto nyní neuvolnit, když správná výslovnost ý na konci adjektiv mužského rodu je tak nezvyklá, že se jí bojíme, abychom nevypadali příliš akademicky?
Postion	Tokenization
1	Proč
2	toto
3	nyní
4	neuvolnit
5	,
6	když
7	správná
8	výslovnost
9	ý
10	na
11	konci
12	adjektiv
13	mužského
14	rodu
15	je
16	tak
17	nezvyklá
18	,
19	že
20	se
21	jí
22	bojíme
23	,
24	abychom
25	aby
26	bychom
27	nevypadali
28	příliš
29	akademicky
30	?
Position	Tokenization	UPOS	Head	Deprel
1	Proč	ADV	4	advmod
2	toto	DET	4	obj
3	nyní	ADV	4	advmod
4	neuvolnit	VERB	0	root
5	,	PUNCT	17	punct
6	když	SCONJ	17	mark
7	správná	ADJ	8	amod
8	výslovnost	NOUN	17	nsubj
9	ý	NOUN	8	nmod
10	na	ADP	11	case
11	konci	NOUN	9	nmod
12	adjektiv	NOUN	11	nmod
13	mužského	ADJ	14	amod
14	rodu	NOUN	12	nmod
15	je	AUX	17	cop
16	tak	ADV	17	advmod
17	nezvyklá	ADJ	4	advcl
18	,	PUNCT	22	punct
19	že	SCONJ	22	mark
20	se	PRON	22	expl:pv
21	jí	PRON	22	obl:arg
22	bojíme	VERB	17	advcl
23	,	PUNCT	26	punct
24	abychom	_	None	_
25	aby	SCONJ	26	mark
26	bychom	AUX	26	aux
27	nevypadali	VERB	22	advcl
28	příliš	ADV	28	advmod
29	akademicky	ADV	26	advmod
30	?	PUNCT	4	punct