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:
Une thèse partagée par Jean Laloux, qui dirige le cabinet Inférences, spécialisé dans l'analyse sémantique des discours.
Postion	Tokenization
1	Une
2	thèse
3	partagée
4	par
5	Jean
6	Laloux
7	,
8	qui
9	dirige
10	le
11	cabinet
12	Inférences
13	,
14	spécialisé
15	dans
16	l'
17	analyse
18	sémantique
19	des
20	de
21	les
22	discours
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	thèse	NOUN	0	root
3	partagée	VERB	2	acl
4	par	ADP	5	case
5	Jean	PROPN	3	obl:agent
6	Laloux	PROPN	5	flat:name
7	,	PUNCT	9	punct
8	qui	PRON	9	nsubj
9	dirige	VERB	5	acl:relcl
10	le	DET	11	det
11	cabinet	NOUN	9	obj
12	Inférences	PROPN	11	appos
13	,	PUNCT	14	punct
14	spécialisé	VERB	11	acl
15	dans	ADP	17	case
16	l'	DET	17	det
17	analyse	NOUN	14	obl:arg
18	sémantique	ADJ	17	amod
19	des	_	None	_
20	de	ADP	21	case
21	les	DET	21	det
22	discours	NOUN	17	nmod
23	.	PUNCT	2	punct