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:
Largo s'envole pour Venise afin de porter secours à son amie, laissant de côté d'importantes négociations commerciales qui le mettent face au dangereux Cartel pétrolier dont Robert Cotton dirige la police secrète.
Postion	Tokenization
1	Largo
2	s'
3	envole
4	pour
5	Venise
6	afin
7	de
8	porter
9	secours
10	à
11	son
12	amie
13	,
14	laissant
15	de
16	côté
17	d'
18	importantes
19	négociations
20	commerciales
21	qui
22	le
23	mettent
24	face
25	au
26	à
27	le
28	dangereux
29	Cartel
30	pétrolier
31	dont
32	Robert
33	Cotton
34	dirige
35	la
36	police
37	secrète
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Largo	PROPN	3	nsubj
2	s'	PRON	3	dep:comp
3	envole	VERB	0	root
4	pour	ADP	5	case
5	Venise	PROPN	3	obl:mod
6	afin	ADV	3	advmod
7	de	ADP	8	mark
8	porter	VERB	6	ccomp:obj
9	secours	NOUN	8	obj
10	à	ADP	12	case
11	son	DET	12	det
12	amie	NOUN	8	obl:arg
13	,	PUNCT	14	punct
14	laissant	VERB	3	advcl
15	de	ADP	16	case
16	côté	NOUN	14	obl:mod
17	d'	ADP	19	case
18	importantes	ADJ	19	amod
19	négociations	NOUN	16	nmod
20	commerciales	ADJ	19	amod
21	qui	PRON	23	nsubj
22	le	PRON	23	obj
23	mettent	VERB	19	acl:relcl
24	face	NOUN	28	case
25	au	_	None	_
26	à	ADP	24	fixed
27	le	DET	28	det
28	dangereux	ADJ	28	amod
29	Cartel	NOUN	23	obl:mod
30	pétrolier	ADJ	28	amod
31	dont	PRON	35	nmod
32	Robert	PROPN	33	nsubj
33	Cotton	PROPN	31	flat:name
34	dirige	VERB	28	acl:relcl
35	la	DET	35	det
36	police	NOUN	33	obj
37	secrète	ADJ	35	amod
38	.	PUNCT	3	punct