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:
Pour les élèves de seconde, le conseil régional « appelle les proviseurs à mobiliser massivement les fonds sociaux existant dans les lycées pour les familles les plus en difficultés ».
Postion	Tokenization
1	Pour
2	les
3	élèves
4	de
5	seconde
6	,
7	le
8	conseil
9	régional
10	«
11	appelle
12	les
13	proviseurs
14	à
15	mobiliser
16	massivement
17	les
18	fonds
19	sociaux
20	existant
21	dans
22	les
23	lycées
24	pour
25	les
26	familles
27	les
28	plus
29	en
30	difficultés
31	»
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	3	case
2	les	DET	3	det
3	élèves	NOUN	11	obl:mod
4	de	ADP	5	case
5	seconde	NOUN	3	nmod
6	,	PUNCT	3	punct
7	le	DET	8	det
8	conseil	NOUN	11	nsubj
9	régional	ADJ	8	amod
10	«	PUNCT	11	punct
11	appelle	VERB	0	root
12	les	DET	13	det
13	proviseurs	NOUN	11	obj
14	à	ADP	15	mark
15	mobiliser	VERB	11	xcomp:obl
16	massivement	ADV	15	advmod
17	les	DET	18	det
18	fonds	NOUN	15	obj
19	sociaux	ADJ	18	amod
20	existant	VERB	18	acl
21	dans	ADP	23	case
22	les	DET	23	det
23	lycées	NOUN	20	obl:arg
24	pour	ADP	26	case
25	les	DET	26	det
26	familles	NOUN	20	obl:mod
27	les	DET	30	advmod
28	plus	ADV	27	fixed
29	en	ADP	30	case
30	difficultés	NOUN	26	nmod
31	»	PUNCT	11	punct
32	.	PUNCT	11	punct