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:
Sherlock découvre que est le mot de passe de l'adresse e-mail de la victime et que celle-ci a donné son téléphone portable à l'assassin pour qu'il puisse être tracé par GPS.
Postion	Tokenization
1	Sherlock
2	découvre
3	que
4	est
5	le
6	mot
7	de
8	passe
9	de
10	l'
11	adresse
12	e-mail
13	de
14	la
15	victime
16	et
17	que
18	celle-ci
19	a
20	donné
21	son
22	téléphone
23	portable
24	à
25	l'
26	assassin
27	pour
28	qu'
29	il
30	puisse
31	être
32	tracé
33	par
34	GPS
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Sherlock	PROPN	2	nsubj
2	découvre	VERB	0	root
3	que	SCONJ	6	mark
4	est	AUX	6	cop
5	le	DET	6	det
6	mot	NOUN	2	ccomp:obj
7	de	ADP	8	case
8	passe	NOUN	6	nmod
9	de	ADP	11	case
10	l'	DET	11	det
11	adresse	NOUN	6	nmod
12	e-mail	NOUN	11	appos
13	de	ADP	15	case
14	la	DET	15	det
15	victime	NOUN	11	nmod
16	et	CCONJ	20	cc
17	que	SCONJ	20	mark
18	celle-ci	PRON	20	nsubj
19	a	AUX	20	aux:tense
20	donné	VERB	6	conj
21	son	DET	22	det
22	téléphone	NOUN	20	obj
23	portable	ADJ	22	amod
24	à	ADP	26	case
25	l'	DET	26	det
26	assassin	NOUN	20	obl:arg
27	pour	ADP	30	mark
28	qu'	SCONJ	30	mark
29	il	PRON	30	nsubj
30	puisse	VERB	20	advcl
31	être	AUX	32	aux:pass
32	tracé	VERB	30	xcomp:obj
33	par	ADP	34	case
34	GPS	NOUN	32	obl:arg
35	.	PUNCT	2	punct