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:
Francouzská justice vzala do vazby další osobnost mezinárodního terorismu Maríi Idoyauovou Lópezovou-Rianovou, zvanou Margarita nebo také Tygřice, a zahájila proti ní trestní stíhání.
Postion	Tokenization
1	Francouzská
2	justice
3	vzala
4	do
5	vazby
6	další
7	osobnost
8	mezinárodního
9	terorismu
10	Maríi
11	Idoyauovou
12	Lópezovou
13	-
14	Rianovou
15	,
16	zvanou
17	Margarita
18	nebo
19	také
20	Tygřice
21	,
22	a
23	zahájila
24	proti
25	ní
26	trestní
27	stíhání
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Francouzská	ADJ	2	amod
2	justice	NOUN	3	nsubj
3	vzala	VERB	0	root
4	do	ADP	5	case
5	vazby	NOUN	3	obl
6	další	ADJ	7	amod
7	osobnost	NOUN	3	obj
8	mezinárodního	ADJ	9	amod
9	terorismu	NOUN	7	nmod
10	Maríi	PROPN	7	flat
11	Idoyauovou	PROPN	7	flat
12	Lópezovou	PROPN	7	flat
13	-	PUNCT	12	punct
14	Rianovou	PROPN	7	flat
15	,	PUNCT	16	punct
16	zvanou	ADJ	7	amod
17	Margarita	PROPN	16	obj
18	nebo	CCONJ	20	cc
19	také	ADV	20	advmod:emph
20	Tygřice	NOUN	17	conj
21	,	PUNCT	16	punct
22	a	CCONJ	23	cc
23	zahájila	VERB	3	conj
24	proti	ADP	25	case
25	ní	PRON	23	obl
26	trestní	ADJ	27	amod
27	stíhání	NOUN	23	obj
28	.	PUNCT	3	punct