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:
Entré la même année dans les douanes, sous les auspices de son oncle Dubois-Aymé (1779-1846), directeur de cette administration à Marseille (scientifique, membre de l'expédition d'Égypte).
Postion	Tokenization
1	Entré
2	la
3	même
4	année
5	dans
6	les
7	douanes
8	,
9	sous
10	les
11	auspices
12	de
13	son
14	oncle
15	Dubois-Aymé
16	(
17	1779-1846
18	)
19	,
20	directeur
21	de
22	cette
23	administration
24	à
25	Marseille
26	(
27	scientifique
28	,
29	membre
30	de
31	l'
32	expédition
33	d'
34	Égypte
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Entré	VERB	0	root
2	la	DET	4	det
3	même	ADJ	4	amod
4	année	NOUN	1	obl:mod
5	dans	ADP	7	case
6	les	DET	7	det
7	douanes	NOUN	1	obl:mod
8	,	PUNCT	11	punct
9	sous	ADP	11	case
10	les	DET	11	det
11	auspices	NOUN	1	obl:mod
12	de	ADP	14	case
13	son	DET	14	det
14	oncle	NOUN	11	nmod
15	Dubois-Aymé	PROPN	14	appos
16	(	PUNCT	17	punct
17	1779-1846	NUM	14	nmod
18	)	PUNCT	17	punct
19	,	PUNCT	20	punct
20	directeur	NOUN	14	appos
21	de	ADP	23	case
22	cette	DET	23	det
23	administration	NOUN	20	nmod
24	à	ADP	25	case
25	Marseille	PROPN	20	nmod
26	(	PUNCT	27	punct
27	scientifique	NOUN	20	appos
28	,	PUNCT	29	punct
29	membre	NOUN	27	conj
30	de	ADP	32	case
31	l'	DET	32	det
32	expédition	NOUN	29	nmod
33	d'	ADP	34	case
34	Égypte	PROPN	32	nmod
35	)	PUNCT	27	punct
36	.	PUNCT	1	punct