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 fin des années 50, Caycedo sort de l'université de Madrid diplômé en neuropsychiatrie docteur en médecine et chirurgie, spécialiste en neurologie et psychiatre exerçant à l'Hôpital Clinique de Barcelone et professeur agrégé de psychiatrie de la faculté de médecine de Barcelone.Profondément marqué par les méthodes de traitement brutales (électrochocs, comas insuliniques, etc.) parfois employées sans en mesurer toutes les conséquences.
Postion	Tokenization
1	À
2	la
3	fin
4	des
5	de
6	les
7	années
8	50
9	,
10	Caycedo
11	sort
12	de
13	l'
14	université
15	de
16	Madrid
17	diplômé
18	en
19	neuropsychiatrie
20	docteur
21	en
22	médecine
23	et
24	chirurgie
25	,
26	spécialiste
27	en
28	neurologie
29	et
30	psychiatre
31	exerçant
32	à
33	l'
34	Hôpital
35	Clinique
36	de
37	Barcelone
38	et
39	professeur
40	agrégé
41	de
42	psychiatrie
43	de
44	la
45	faculté
46	de
47	médecine
48	de
49	Barcelone.Profondément
50	marqué
51	par
52	les
53	méthodes
54	de
55	traitement
56	brutales
57	(
58	électrochocs
59	,
60	comas
61	insuliniques
62	,
63	etc.
64	)
65	parfois
66	employées
67	sans
68	en
69	mesurer
70	toutes
71	les
72	conséquences
73	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	3	case
2	la	DET	3	det
3	fin	NOUN	10	obl:mod
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	années	NOUN	3	nmod
8	50	NUM	6	nmod
9	,	PUNCT	3	punct
10	Caycedo	PROPN	10	nsubj
11	sort	VERB	0	root
12	de	ADP	13	case
13	l'	DET	13	det
14	université	NOUN	10	obl:arg
15	de	ADP	15	case
16	Madrid	PROPN	13	nmod
17	diplômé	ADJ	10	advcl
18	en	ADP	18	case
19	neuropsychiatrie	NOUN	16	obl:arg
20	docteur	NOUN	16	conj
21	en	ADP	21	case
22	médecine	NOUN	19	nmod
23	et	CCONJ	23	cc
24	chirurgie	NOUN	21	conj
25	,	PUNCT	25	punct
26	spécialiste	NOUN	16	conj
27	en	ADP	27	case
28	neurologie	NOUN	25	nmod
29	et	CCONJ	29	cc
30	psychiatre	NOUN	16	conj
31	exerçant	VERB	29	acl
32	à	ADP	33	case
33	l'	DET	33	det
34	Hôpital	PROPN	30	obl:mod
35	Clinique	PROPN	33	flat:name
36	de	ADP	36	case
37	Barcelone	PROPN	33	nmod
38	et	CCONJ	38	cc
39	professeur	NOUN	16	conj
40	agrégé	ADJ	38	amod
41	de	ADP	41	case
42	psychiatrie	NOUN	38	nmod
43	de	ADP	44	case
44	la	DET	44	det
45	faculté	NOUN	38	nmod
46	de	ADP	46	case
47	médecine	NOUN	44	nmod
48	de	ADP	48	case
49	Barcelone.Profondément	PROPN	44	nmod
50	marqué	VERB	10	advcl
51	par	ADP	52	case
52	les	DET	52	det
53	méthodes	NOUN	49	obl:agent
54	de	ADP	54	case
55	traitement	NOUN	52	nmod
56	brutales	ADJ	52	amod
57	(	PUNCT	57	punct
58	électrochocs	NOUN	52	appos
59	,	PUNCT	59	punct
60	comas	NOUN	57	conj
61	insuliniques	ADJ	59	amod
62	,	PUNCT	62	punct
63	etc.	X	57	conj
64	)	PUNCT	57	punct
65	parfois	ADV	65	advmod
66	employées	VERB	52	acl
67	sans	ADP	68	mark
68	en	PRON	71	nmod
69	mesurer	VERB	65	xcomp:obl
70	toutes	ADJ	71	amod
71	les	DET	71	det
72	conséquences	NOUN	68	obj
73	.	PUNCT	10	punct