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:
Le nouveau ministre de la Santé Xavier Bertrand est même allé plus loin, recommandant à "tous ceux qui ont pris du Mediator" de consulter leur médecin traitant.
Postion	Tokenization
1	Le
2	nouveau
3	ministre
4	de
5	la
6	Santé
7	Xavier
8	Bertrand
9	est
10	même
11	allé
12	plus
13	loin
14	,
15	recommandant
16	à
17	"
18	tous
19	ceux
20	qui
21	ont
22	pris
23	du
24	Mediator
25	"
26	de
27	consulter
28	leur
29	médecin
30	traitant
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	3	det
2	nouveau	ADJ	3	amod
3	ministre	NOUN	11	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	Santé	NOUN	3	nmod
7	Xavier	PROPN	3	appos
8	Bertrand	PROPN	7	flat:name
9	est	AUX	11	aux:tense
10	même	ADV	11	advmod
11	allé	VERB	0	root
12	plus	ADV	13	advmod
13	loin	ADV	11	obl:arg
14	,	PUNCT	15	punct
15	recommandant	VERB	11	advcl
16	à	ADP	19	case
17	"	PUNCT	19	punct
18	tous	DET	19	det
19	ceux	PRON	15	obl:mod
20	qui	PRON	22	nsubj
21	ont	AUX	22	aux:tense
22	pris	VERB	19	acl:relcl
23	du	DET	24	det
24	Mediator	PROPN	22	obj
25	"	PUNCT	19	punct
26	de	ADP	27	mark
27	consulter	VERB	15	xcomp:obj
28	leur	DET	29	det
29	médecin	NOUN	27	obj
30	traitant	ADJ	29	amod
31	.	PUNCT	11	punct