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:
J'en garde un excellent souvenir car le personnel médical comme administratif est gentil et compétent, rien à voir avec les hôpitaux de province oà j'ai failli perdre la vie.
Postion	Tokenization
1	J'
2	en
3	garde
4	un
5	excellent
6	souvenir
7	car
8	le
9	personnel
10	médical
11	comme
12	administratif
13	est
14	gentil
15	et
16	compétent
17	,
18	rien
19	à
20	voir
21	avec
22	les
23	hôpitaux
24	de
25	province
26	oà
27	j'
28	ai
29	failli
30	perdre
31	la
32	vie
33	.
Position	Tokenization	UPOS	Head	Deprel
1	J'	PRON	3	nsubj
2	en	PRON	6	nmod
3	garde	VERB	0	root
4	un	DET	6	det
5	excellent	ADJ	6	amod
6	souvenir	NOUN	3	obj
7	car	CCONJ	14	cc
8	le	DET	9	det
9	personnel	NOUN	14	nsubj
10	médical	ADJ	9	amod
11	comme	SCONJ	12	mark
12	administratif	ADJ	10	advcl
13	est	AUX	14	cop
14	gentil	ADJ	3	conj
15	et	CCONJ	16	cc
16	compétent	ADJ	14	conj
17	,	PUNCT	18	punct
18	rien	PRON	14	parataxis
19	à	ADP	20	mark
20	voir	VERB	18	acl
21	avec	ADP	23	case
22	les	DET	23	det
23	hôpitaux	NOUN	20	obl:arg
24	de	ADP	25	case
25	province	NOUN	23	nmod
26	oà	ADV	29	advmod
27	j'	PRON	29	nsubj
28	ai	AUX	29	aux:tense
29	failli	VERB	23	acl:relcl
30	perdre	VERB	29	xcomp:obj
31	la	DET	32	det
32	vie	NOUN	30	obj
33	.	PUNCT	3	punct