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:
Byly ale přestupky německých chlapců skutečně tak závažné, aby se o nich muselo hovořit jako o nebezpečných kriminálnících a celé vesnice propadaly strachu a hysterii?
Postion	Tokenization
1	Byly
2	ale
3	přestupky
4	německých
5	chlapců
6	skutečně
7	tak
8	závažné
9	,
10	aby
11	aby
12	by
13	se
14	o
15	nich
16	muselo
17	hovořit
18	jako
19	o
20	nebezpečných
21	kriminálnících
22	a
23	celé
24	vesnice
25	propadaly
26	strachu
27	a
28	hysterii
29	?
Position	Tokenization	UPOS	Head	Deprel
1	Byly	AUX	8	cop
2	ale	CCONJ	8	cc
3	přestupky	NOUN	8	nsubj
4	německých	ADJ	5	amod
5	chlapců	NOUN	3	nmod
6	skutečně	ADV	8	advmod
7	tak	ADV	8	advmod
8	závažné	ADJ	0	root
9	,	PUNCT	15	punct
10	aby	_	None	_
11	aby	SCONJ	15	mark
12	by	AUX	15	aux
13	se	PRON	15	expl:pass
14	o	ADP	14	case
15	nich	PRON	16	obl:arg
16	muselo	VERB	8	advcl
17	hovořit	VERB	15	csubj:pass
18	jako	SCONJ	20	mark
19	o	ADP	20	case
20	nebezpečných	ADJ	20	amod
21	kriminálnících	NOUN	14	xcomp
22	a	CCONJ	24	cc
23	celé	ADJ	23	amod
24	vesnice	NOUN	24	nsubj
25	propadaly	VERB	15	conj
26	strachu	NOUN	24	obl:arg
27	a	CCONJ	27	cc
28	hysterii	NOUN	25	conj
29	?	PUNCT	8	punct