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:
Une infirmière hors du commun car en plus de son professionnalisme, une humanité, une gentillesse, une joie de vivre comme on n'en fait plus et qui font du bien aux malades que nous sommes...
Postion	Tokenization
1	Une
2	infirmière
3	hors
4	du
5	de
6	le
7	commun
8	car
9	en
10	plus
11	de
12	son
13	professionnalisme
14	,
15	une
16	humanité
17	,
18	une
19	gentillesse
20	,
21	une
22	joie
23	de
24	vivre
25	comme
26	on
27	n'
28	en
29	fait
30	plus
31	et
32	qui
33	font
34	du
35	bien
36	aux
37	à
38	les
39	malades
40	que
41	nous
42	sommes
43	...
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	infirmière	NOUN	0	root
3	hors	ADV	2	advmod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	commun	ADJ	3	obj
8	car	CCONJ	15	cc
9	en	ADP	15	advmod
10	plus	ADV	8	fixed
11	de	ADP	12	case
12	son	DET	12	det
13	professionnalisme	NOUN	8	obl:arg
14	,	PUNCT	8	punct
15	une	DET	15	det
16	humanité	NOUN	2	conj
17	,	PUNCT	18	punct
18	une	DET	18	det
19	gentillesse	NOUN	15	conj
20	,	PUNCT	21	punct
21	une	DET	21	det
22	joie	NOUN	15	conj
23	de	ADP	23	mark
24	vivre	VERB	21	acl
25	comme	SCONJ	28	mark
26	on	PRON	28	nsubj
27	n'	ADV	28	advmod
28	en	PRON	28	obj
29	fait	VERB	2	acl
30	plus	ADV	28	advmod
31	et	CCONJ	32	cc
32	qui	PRON	32	nsubj
33	font	VERB	28	conj
34	du	DET	34	det
35	bien	NOUN	32	obj
36	aux	_	None	_
37	à	ADP	37	case
38	les	DET	37	det
39	malades	NOUN	32	obl:arg
40	que	PRON	37	acl:relcl
41	nous	PRON	38	nsubj
42	sommes	AUX	38	cop
43	...	PUNCT	2	punct