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:
À la demande de la mère d'Artaud, qui a entendu parler d'un nouveau traitement à l'électricité, Artaud est présenté au Docteur Rondepierre.
Postion	Tokenization
1	À
2	la
3	demande
4	de
5	la
6	mère
7	d'
8	Artaud
9	,
10	qui
11	a
12	entendu
13	parler
14	d'
15	un
16	nouveau
17	traitement
18	à
19	l'
20	électricité
21	,
22	Artaud
23	est
24	présenté
25	au
26	à
27	le
28	Docteur
29	Rondepierre
30	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	3	case
2	la	DET	3	det
3	demande	NOUN	24	obl:mod
4	de	ADP	6	case
5	la	DET	6	det
6	mère	NOUN	3	nmod
7	d'	ADP	8	case
8	Artaud	PROPN	6	nmod
9	,	PUNCT	12	punct
10	qui	PRON	12	nsubj
11	a	AUX	12	aux:tense
12	entendu	VERB	6	acl:relcl
13	parler	VERB	12	xcomp:obj
14	d'	ADP	17	case
15	un	DET	17	det
16	nouveau	ADJ	17	amod
17	traitement	NOUN	13	obl:arg
18	à	ADP	20	case
19	l'	DET	20	det
20	électricité	NOUN	17	nmod
21	,	PUNCT	3	punct
22	Artaud	PROPN	24	nsubj:pass
23	est	AUX	24	aux:pass
24	présenté	VERB	0	root
25	au	_	None	_
26	à	ADP	27	case
27	le	DET	27	det
28	Docteur	PROPN	24	obl:arg
29	Rondepierre	PROPN	27	appos
30	.	PUNCT	24	punct