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:
Dès lors que la relation entre la période et la luminosité des céphéides est correctement calibrée, il devient possible de l'utiliser pour mesurer la distance de toutes les céphéides classiques identifiées.
Postion	Tokenization
1	Dès
2	lors
3	que
4	la
5	relation
6	entre
7	la
8	période
9	et
10	la
11	luminosité
12	des
13	de
14	les
15	céphéides
16	est
17	correctement
18	calibrée
19	,
20	il
21	devient
22	possible
23	de
24	l'
25	utiliser
26	pour
27	mesurer
28	la
29	distance
30	de
31	toutes
32	les
33	céphéides
34	classiques
35	identifiées
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Dès	ADP	20	advmod
2	lors	ADV	1	fixed
3	que	SCONJ	17	mark
4	la	DET	5	det
5	relation	NOUN	17	nsubj:pass
6	entre	ADP	8	case
7	la	DET	8	det
8	période	NOUN	5	nmod
9	et	CCONJ	11	cc
10	la	DET	11	det
11	luminosité	NOUN	8	conj
12	des	_	None	_
13	de	ADP	14	case
14	les	DET	14	det
15	céphéides	NOUN	11	nmod
16	est	AUX	17	aux:pass
17	correctement	ADV	17	advmod
18	calibrée	VERB	1	ccomp:obj
19	,	PUNCT	17	punct
20	il	PRON	20	expl:subj
21	devient	VERB	0	root
22	possible	ADJ	20	xcomp:pred
23	de	ADP	24	mark
24	l'	PRON	24	obj
25	utiliser	VERB	20	csubj
26	pour	ADP	26	mark
27	mesurer	VERB	24	advcl
28	la	DET	28	det
29	distance	NOUN	26	obj
30	de	ADP	32	case
31	toutes	ADJ	32	amod
32	les	DET	32	det
33	céphéides	NOUN	28	nmod
34	classiques	ADJ	32	amod
35	identifiées	VERB	32	acl
36	.	PUNCT	20	punct