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:
Lors de ses recherches, il découvre que You est le fils de Shigeto Haibara, le directeur de la clinique où les filles avaient été retrouvées.
Postion	Tokenization
1	Lors
2	de
3	ses
4	recherches
5	,
6	il
7	découvre
8	que
9	You
10	est
11	le
12	fils
13	de
14	Shigeto
15	Haibara
16	,
17	le
18	directeur
19	de
20	la
21	clinique
22	où
23	les
24	filles
25	avaient
26	été
27	retrouvées
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	7	advmod
2	de	ADP	4	case
3	ses	DET	4	det
4	recherches	NOUN	1	obl:arg
5	,	PUNCT	4	punct
6	il	PRON	7	nsubj
7	découvre	VERB	0	root
8	que	SCONJ	12	mark
9	You	PROPN	12	nsubj
10	est	AUX	12	cop
11	le	DET	12	det
12	fils	NOUN	7	ccomp:obj
13	de	ADP	14	case
14	Shigeto	PROPN	12	nmod
15	Haibara	PROPN	14	flat:name
16	,	PUNCT	18	punct
17	le	DET	18	det
18	directeur	NOUN	14	appos
19	de	ADP	21	case
20	la	DET	21	det
21	clinique	NOUN	18	nmod
22	où	ADV	27	advmod
23	les	DET	24	det
24	filles	NOUN	27	nsubj:pass
25	avaient	AUX	27	aux:tense
26	été	AUX	27	aux:pass
27	retrouvées	VERB	21	acl:relcl
28	.	PUNCT	7	punct