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:
Moje žena a dcera žijí naprosto normálním způsobem ve Venezuele se zbytkem rodiny, řekl terorista Carlos v rozhovoru, který byl včera zveřejněn ve francouzském deníku InfoMatin.
Postion	Tokenization
1	Moje
2	žena
3	a
4	dcera
5	žijí
6	naprosto
7	normálním
8	způsobem
9	ve
10	Venezuele
11	se
12	zbytkem
13	rodiny
14	,
15	řekl
16	terorista
17	Carlos
18	v
19	rozhovoru
20	,
21	který
22	byl
23	včera
24	zveřejněn
25	ve
26	francouzském
27	deníku
28	InfoMatin
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Moje	DET	2	det
2	žena	NOUN	5	nsubj
3	a	CCONJ	4	cc
4	dcera	NOUN	2	conj
5	žijí	VERB	15	ccomp
6	naprosto	ADV	7	advmod
7	normálním	ADJ	8	amod
8	způsobem	NOUN	5	obl
9	ve	ADP	10	case
10	Venezuele	PROPN	5	obl
11	se	ADP	12	case
12	zbytkem	NOUN	5	obl
13	rodiny	NOUN	12	nmod
14	,	PUNCT	5	punct
15	řekl	VERB	0	root
16	terorista	NOUN	15	nsubj
17	Carlos	PROPN	16	flat
18	v	ADP	19	case
19	rozhovoru	NOUN	15	obl
20	,	PUNCT	24	punct
21	který	DET	24	nsubj:pass
22	byl	AUX	24	aux:pass
23	včera	ADV	24	advmod
24	zveřejněn	ADJ	19	amod
25	ve	ADP	27	case
26	francouzském	ADJ	27	amod
27	deníku	NOUN	24	obl
28	InfoMatin	PROPN	27	nmod
29	.	PUNCT	15	punct