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:
Les premiers, comme David Dumville, Thomas Owen Clancy et Dauvit Broun, portent leurs études sur les cultures indigènes du pays et ont souvent une formation linguistique dans les langues celtiques.
Postion	Tokenization
1	Les
2	premiers
3	,
4	comme
5	David
6	Dumville
7	,
8	Thomas
9	Owen
10	Clancy
11	et
12	Dauvit
13	Broun
14	,
15	portent
16	leurs
17	études
18	sur
19	les
20	cultures
21	indigènes
22	du
23	de
24	le
25	pays
26	et
27	ont
28	souvent
29	une
30	formation
31	linguistique
32	dans
33	les
34	langues
35	celtiques
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	premiers	ADJ	15	nsubj
3	,	PUNCT	5	punct
4	comme	ADP	5	case
5	David	PROPN	2	nmod
6	Dumville	PROPN	5	flat:name
7	,	PUNCT	8	punct
8	Thomas	PROPN	5	conj
9	Owen	PROPN	8	flat:name
10	Clancy	PROPN	9	flat:name
11	et	CCONJ	12	cc
12	Dauvit	PROPN	5	conj
13	Broun	PROPN	12	flat:name
14	,	PUNCT	12	punct
15	portent	VERB	0	root
16	leurs	DET	17	det
17	études	NOUN	15	obj
18	sur	ADP	20	case
19	les	DET	20	det
20	cultures	NOUN	15	obl:mod
21	indigènes	ADJ	20	amod
22	du	_	None	_
23	de	ADP	24	case
24	le	DET	24	det
25	pays	NOUN	20	nmod
26	et	CCONJ	26	cc
27	ont	VERB	15	conj
28	souvent	ADV	26	advmod
29	une	DET	29	det
30	formation	NOUN	26	obj
31	linguistique	ADJ	29	amod
32	dans	ADP	33	case
33	les	DET	33	det
34	langues	NOUN	29	nmod
35	celtiques	ADJ	33	amod
36	.	PUNCT	15	punct