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:
La seconde, plus jeune, répondit à la demande de saint Cénéré par une question : « Qui me rendrait ces rayons de miel si je te les donnais ?
Postion	Tokenization
1	La
2	seconde
3	,
4	plus
5	jeune
6	,
7	répondit
8	à
9	la
10	demande
11	de
12	saint
13	Cénéré
14	par
15	une
16	question
17	:
18	«
19	Qui
20	me
21	rendrait
22	ces
23	rayons
24	de
25	miel
26	si
27	je
28	te
29	les
30	donnais
31	?
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	seconde	NOUN	7	nsubj
3	,	PUNCT	5	punct
4	plus	ADV	5	advmod
5	jeune	ADJ	2	amod
6	,	PUNCT	5	punct
7	répondit	VERB	0	root
8	à	ADP	10	case
9	la	DET	10	det
10	demande	NOUN	7	obl:arg
11	de	ADP	12	case
12	saint	PROPN	10	nmod
13	Cénéré	PROPN	12	flat:name
14	par	ADP	16	case
15	une	DET	16	det
16	question	NOUN	7	obl:arg
17	:	PUNCT	21	punct
18	«	PUNCT	21	punct
19	Qui	PRON	21	nsubj
20	me	PRON	21	obl:arg
21	rendrait	VERB	16	acl
22	ces	DET	23	det
23	rayons	NOUN	21	obj
24	de	ADP	25	case
25	miel	NOUN	23	nmod
26	si	SCONJ	30	mark
27	je	PRON	30	nsubj
28	te	PRON	30	obl:arg
29	les	PRON	30	obj
30	donnais	VERB	21	advcl
31	?	PUNCT	21	punct