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 voyage beaucoup en Orient et en Égypte et crée la plus grande collection privée d'objets égyptiens du monde (il collectionne aussi de l'art espagnol).
Postion	Tokenization
1	Il
2	voyage
3	beaucoup
4	en
5	Orient
6	et
7	en
8	Égypte
9	et
10	crée
11	la
12	plus
13	grande
14	collection
15	privée
16	d'
17	objets
18	égyptiens
19	du
20	de
21	le
22	monde
23	(
24	il
25	collectionne
26	aussi
27	de
28	l'
29	art
30	espagnol
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	voyage	VERB	0	root
3	beaucoup	ADV	2	advmod
4	en	ADP	5	case
5	Orient	PROPN	2	obl:mod
6	et	CCONJ	8	cc
7	en	ADP	8	case
8	Égypte	PROPN	5	conj
9	et	CCONJ	10	cc
10	crée	VERB	2	conj
11	la	DET	14	det
12	plus	ADV	13	advmod
13	grande	ADJ	14	amod
14	collection	NOUN	10	obj
15	privée	ADJ	14	amod
16	d'	ADP	17	case
17	objets	NOUN	14	nmod
18	égyptiens	ADJ	17	amod
19	du	_	None	_
20	de	ADP	21	case
21	le	DET	21	det
22	monde	NOUN	14	nmod
23	(	PUNCT	24	punct
24	il	PRON	24	nsubj
25	collectionne	VERB	2	parataxis
26	aussi	ADV	24	advmod
27	de	ADP	28	det
28	l'	DET	26	fixed
29	art	NOUN	24	obj
30	espagnol	ADJ	28	amod
31	)	PUNCT	24	punct
32	.	PUNCT	2	punct