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:
Il effectue plusieurs voyages sur place et ramène une partie de la collection de l'abbé Giani pour enrichir le Musée des Antiquités Nationales dont il est vice-conservateur.
Postion	Tokenization
1	Il
2	effectue
3	plusieurs
4	voyages
5	sur
6	place
7	et
8	ramène
9	une
10	partie
11	de
12	la
13	collection
14	de
15	l'
16	abbé
17	Giani
18	pour
19	enrichir
20	le
21	Musée
22	des
23	de
24	les
25	Antiquités
26	Nationales
27	dont
28	il
29	est
30	vice-conservateur
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	effectue	VERB	0	root
3	plusieurs	DET	4	det
4	voyages	NOUN	2	obj
5	sur	ADP	6	case
6	place	NOUN	4	nmod
7	et	CCONJ	8	cc
8	ramène	VERB	2	conj
9	une	DET	10	det
10	partie	NOUN	8	obj
11	de	ADP	13	case
12	la	DET	13	det
13	collection	NOUN	10	nmod
14	de	ADP	16	case
15	l'	DET	16	det
16	abbé	NOUN	13	nmod
17	Giani	PROPN	16	appos
18	pour	ADP	19	mark
19	enrichir	VERB	8	advcl
20	le	DET	21	det
21	Musée	NOUN	19	obj
22	des	_	None	_
23	de	ADP	24	case
24	les	DET	24	det
25	Antiquités	PROPN	21	nmod
26	Nationales	ADJ	24	amod
27	dont	PRON	29	nmod
28	il	PRON	29	nsubj
29	est	AUX	29	cop
30	vice-conservateur	NOUN	21	acl:relcl
31	.	PUNCT	2	punct