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:
Son caractère impulsif nuit également à sa santé puisqu'il s'emporte facilement, ce qui lui a valu quelques séjours à l'hôpital, notamment dans Papa furax, où son ire contre Bart lui sauve la vie.
Postion	Tokenization
1	Son
2	caractère
3	impulsif
4	nuit
5	également
6	à
7	sa
8	santé
9	puisqu'
10	il
11	s'
12	emporte
13	facilement
14	,
15	ce
16	qui
17	lui
18	a
19	valu
20	quelques
21	séjours
22	à
23	l'
24	hôpital
25	,
26	notamment
27	dans
28	Papa
29	furax
30	,
31	où
32	son
33	ire
34	contre
35	Bart
36	lui
37	sauve
38	la
39	vie
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	caractère	NOUN	4	nsubj
3	impulsif	ADJ	2	amod
4	nuit	VERB	0	root
5	également	ADV	4	advmod
6	à	ADP	8	case
7	sa	DET	8	det
8	santé	NOUN	4	obl:arg
9	puisqu'	SCONJ	12	mark
10	il	PRON	12	nsubj
11	s'	PRON	12	dep:comp
12	emporte	VERB	4	advcl
13	facilement	ADV	12	advmod
14	,	PUNCT	15	punct
15	ce	PRON	12	parataxis
16	qui	PRON	19	nsubj
17	lui	PRON	19	obl:arg
18	a	AUX	19	aux:tense
19	valu	VERB	15	acl:relcl
20	quelques	DET	21	det
21	séjours	NOUN	19	obj
22	à	ADP	24	case
23	l'	DET	24	det
24	hôpital	NOUN	21	nmod
25	,	PUNCT	28	punct
26	notamment	ADV	28	advmod
27	dans	ADP	28	case
28	Papa	PROPN	19	obl:mod
29	furax	PROPN	28	flat:name
30	,	PUNCT	37	punct
31	où	ADV	37	advmod
32	son	DET	33	det
33	ire	NOUN	37	nsubj
34	contre	ADP	35	case
35	Bart	PROPN	33	nmod
36	lui	PRON	37	obl:arg
37	sauve	VERB	28	acl:relcl
38	la	DET	39	det
39	vie	NOUN	37	obj
40	.	PUNCT	4	punct