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:
Robert Royer découvre également des foyers de l'âge du bronze et des éléments de la vie quotidienne des Gaulois, attestant l'existence d'une ferme.
Postion	Tokenization
1	Robert
2	Royer
3	découvre
4	également
5	des
6	foyers
7	de
8	l'
9	âge
10	du
11	de
12	le
13	bronze
14	et
15	des
16	éléments
17	de
18	la
19	vie
20	quotidienne
21	des
22	de
23	les
24	Gaulois
25	,
26	attestant
27	l'
28	existence
29	d'
30	une
31	ferme
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Robert	PROPN	3	nsubj
2	Royer	PROPN	1	flat:name
3	découvre	VERB	0	root
4	également	ADV	3	advmod
5	des	DET	6	det
6	foyers	NOUN	3	obj
7	de	ADP	9	case
8	l'	DET	9	det
9	âge	NOUN	6	nmod
10	du	_	None	_
11	de	ADP	12	case
12	le	DET	12	det
13	bronze	NOUN	9	nmod
14	et	CCONJ	15	cc
15	des	DET	15	det
16	éléments	NOUN	6	conj
17	de	ADP	18	case
18	la	DET	18	det
19	vie	NOUN	15	nmod
20	quotidienne	ADJ	18	amod
21	des	_	None	_
22	de	ADP	22	case
23	les	DET	22	det
24	Gaulois	PROPN	18	nmod
25	,	PUNCT	24	punct
26	attestant	VERB	6	acl
27	l'	DET	26	det
28	existence	NOUN	24	obj
29	d'	ADP	29	case
30	une	DET	29	det
31	ferme	NOUN	26	nmod
32	.	PUNCT	3	punct