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:
À la même époque, il assiste aux conférences de Grigore Antipa, directeur du Muséum de Bucarest et fondateur de la géonomie.
Postion	Tokenization
1	À
2	la
3	même
4	époque
5	,
6	il
7	assiste
8	aux
9	à
10	les
11	conférences
12	de
13	Grigore
14	Antipa
15	,
16	directeur
17	du
18	de
19	le
20	Muséum
21	de
22	Bucarest
23	et
24	fondateur
25	de
26	la
27	géonomie
28	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	4	case
2	la	DET	4	det
3	même	ADJ	4	amod
4	époque	NOUN	7	obl:mod
5	,	PUNCT	4	punct
6	il	PRON	7	nsubj
7	assiste	VERB	0	root
8	aux	_	None	_
9	à	ADP	10	case
10	les	DET	10	det
11	conférences	NOUN	7	obl:arg
12	de	ADP	12	case
13	Grigore	PROPN	10	nmod
14	Antipa	PROPN	12	flat:name
15	,	PUNCT	15	punct
16	directeur	NOUN	12	appos
17	du	_	None	_
18	de	ADP	18	case
19	le	DET	18	det
20	Muséum	PROPN	15	nmod
21	de	ADP	20	case
22	Bucarest	PROPN	18	nmod
23	et	CCONJ	22	cc
24	fondateur	NOUN	15	conj
25	de	ADP	25	case
26	la	DET	25	det
27	géonomie	NOUN	22	nmod
28	.	PUNCT	7	punct