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:
Aimer à perdre la raison est un texte poétique écrit par Louis Aragon, mis sous forme musicale et interprété par Jean Ferrat.
Postion	Tokenization
1	Aimer
2	à
3	perdre
4	la
5	raison
6	est
7	un
8	texte
9	poétique
10	écrit
11	par
12	Louis
13	Aragon
14	,
15	mis
16	sous
17	forme
18	musicale
19	et
20	interprété
21	par
22	Jean
23	Ferrat
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Aimer	VERB	8	csubj
2	à	ADP	3	mark
3	perdre	VERB	1	xcomp:obl
4	la	DET	5	det
5	raison	NOUN	3	obj
6	est	AUX	8	cop
7	un	DET	8	det
8	texte	NOUN	0	root
9	poétique	ADJ	8	amod
10	écrit	VERB	8	acl
11	par	ADP	12	case
12	Louis	PROPN	10	obl:agent
13	Aragon	PROPN	12	flat:name
14	,	PUNCT	15	punct
15	mis	VERB	10	conj
16	sous	ADP	17	case
17	forme	NOUN	15	obl:mod
18	musicale	ADJ	17	amod
19	et	CCONJ	20	cc
20	interprété	VERB	15	conj
21	par	ADP	22	case
22	Jean	PROPN	20	obl:agent
23	Ferrat	PROPN	22	flat:name
24	.	PUNCT	8	punct