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:
Je dobrou cestou k obnově nitra člověka degradace jeho potřeb na lascivnost a vulgaritu?" ptají se signatáři dopisu, podle nichž je takový přístup dokonce nebezpečný.
Postion	Tokenization
1	Je
2	dobrou
3	cestou
4	k
5	obnově
6	nitra
7	člověka
8	degradace
9	jeho
10	potřeb
11	na
12	lascivnost
13	a
14	vulgaritu
15	?
16	"
17	ptají
18	se
19	signatáři
20	dopisu
21	,
22	podle
23	nichž
24	je
25	takový
26	přístup
27	dokonce
28	nebezpečný
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	3	cop
2	dobrou	ADJ	3	amod
3	cestou	NOUN	17	ccomp
4	k	ADP	5	case
5	obnově	NOUN	3	nmod
6	nitra	NOUN	5	nmod
7	člověka	NOUN	6	nmod
8	degradace	NOUN	3	nsubj
9	jeho	DET	10	det
10	potřeb	NOUN	8	nmod
11	na	ADP	12	case
12	lascivnost	NOUN	8	nmod
13	a	CCONJ	14	cc
14	vulgaritu	NOUN	12	conj
15	?	PUNCT	3	punct
16	"	PUNCT	3	punct
17	ptají	VERB	0	root
18	se	PRON	17	expl:pv
19	signatáři	NOUN	17	nsubj
20	dopisu	NOUN	19	nmod
21	,	PUNCT	28	punct
22	podle	ADP	23	case
23	nichž	PRON	28	obl
24	je	AUX	28	cop
25	takový	DET	26	det
26	přístup	NOUN	28	nsubj
27	dokonce	ADV	28	advmod:emph
28	nebezpečný	ADJ	19	acl:relcl
29	.	PUNCT	17	punct