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:
Mohl to být klasický psychologický thriller na téma člověk v ohrožení - konkrétně se inženýr Norbert (Svatopluk Skopal) obával nákazy AIDS.
Postion	Tokenization
1	Mohl
2	to
3	být
4	klasický
5	psychologický
6	thriller
7	na
8	téma
9	člověk
10	v
11	ohrožení
12	-
13	konkrétně
14	se
15	inženýr
16	Norbert
17	(
18	Svatopluk
19	Skopal
20	)
21	obával
22	nákazy
23	AIDS
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Mohl	VERB	0	root
2	to	DET	1	xcomp
3	být	AUX	2	cop
4	klasický	ADJ	6	amod
5	psychologický	ADJ	6	amod
6	thriller	NOUN	1	nsubj
7	na	ADP	8	case
8	téma	NOUN	6	nmod
9	člověk	NOUN	8	nmod
10	v	ADP	11	case
11	ohrožení	NOUN	9	nmod
12	-	PUNCT	21	punct
13	konkrétně	ADV	21	advmod
14	se	PRON	21	expl:pv
15	inženýr	NOUN	21	nsubj
16	Norbert	PROPN	15	flat
17	(	PUNCT	18	punct
18	Svatopluk	PROPN	15	flat
19	Skopal	PROPN	18	flat
20	)	PUNCT	18	punct
21	obával	VERB	1	conj
22	nákazy	NOUN	21	obl:arg
23	AIDS	NOUN	22	nmod
24	.	PUNCT	1	punct