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:
Mais le docteur Chilton, qui espionne jalousement les conversations de Clarice et de Lecter, en fait part au sénateur qui fait une contre-proposition à Hannibal.
Postion	Tokenization
1	Mais
2	le
3	docteur
4	Chilton
5	,
6	qui
7	espionne
8	jalousement
9	les
10	conversations
11	de
12	Clarice
13	et
14	de
15	Lecter
16	,
17	en
18	fait
19	part
20	au
21	à
22	le
23	sénateur
24	qui
25	fait
26	une
27	contre-proposition
28	à
29	Hannibal
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	18	cc
2	le	DET	3	det
3	docteur	NOUN	18	nsubj
4	Chilton	PROPN	3	appos
5	,	PUNCT	7	punct
6	qui	PRON	7	nsubj
7	espionne	VERB	3	acl:relcl
8	jalousement	ADV	7	advmod
9	les	DET	10	det
10	conversations	NOUN	7	obj
11	de	ADP	12	case
12	Clarice	PROPN	10	nmod
13	et	CCONJ	15	cc
14	de	ADP	15	case
15	Lecter	PROPN	12	conj
16	,	PUNCT	7	punct
17	en	PRON	18	obl:arg
18	fait	VERB	0	root
19	part	NOUN	18	obj:lvc
20	au	_	None	_
21	à	ADP	22	case
22	le	DET	22	det
23	sénateur	NOUN	18	obl:arg
24	qui	PRON	24	nsubj
25	fait	VERB	22	acl:relcl
26	une	DET	26	det
27	contre-proposition	NOUN	24	obj
28	à	ADP	28	case
29	Hannibal	PROPN	26	nmod
30	.	PUNCT	18	punct