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:
A signaler que la militante sahraouie des droits de l'homme, Mlle Soultana Khaya, était absente à cette session pour des raisons de santé.
Postion	Tokenization
1	A
2	signaler
3	que
4	la
5	militante
6	sahraouie
7	des
8	de
9	les
10	droits
11	de
12	l'
13	homme
14	,
15	Mlle
16	Soultana
17	Khaya
18	,
19	était
20	absente
21	à
22	cette
23	session
24	pour
25	des
26	raisons
27	de
28	santé
29	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	mark
2	signaler	VERB	0	root
3	que	SCONJ	19	mark
4	la	DET	5	det
5	militante	NOUN	19	nsubj
6	sahraouie	ADJ	5	amod
7	des	_	None	_
8	de	ADP	9	case
9	les	DET	9	det
10	droits	NOUN	5	nmod
11	de	ADP	12	case
12	l'	DET	12	det
13	homme	NOUN	9	nmod
14	,	PUNCT	14	punct
15	Mlle	PROPN	5	appos
16	Soultana	PROPN	14	flat:name
17	Khaya	PROPN	15	flat:name
18	,	PUNCT	14	punct
19	était	AUX	19	cop
20	absente	ADJ	2	ccomp:obj
21	à	ADP	22	case
22	cette	DET	22	det
23	session	NOUN	19	obl:arg
24	pour	ADP	25	case
25	des	DET	25	det
26	raisons	NOUN	19	obl:mod
27	de	ADP	27	case
28	santé	NOUN	25	nmod
29	.	PUNCT	2	punct