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:
Par ailleurs, tout le monde a constaté l'absence, presque totale, des forces de sécurité à Layoune, le matin du lundi 8 novembre.
Postion	Tokenization
1	Par
2	ailleurs
3	,
4	tout
5	le
6	monde
7	a
8	constaté
9	l'
10	absence
11	,
12	presque
13	totale
14	,
15	des
16	de
17	les
18	forces
19	de
20	sécurité
21	à
22	Layoune
23	,
24	le
25	matin
26	du
27	de
28	le
29	lundi
30	8
31	novembre
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	8	advmod
2	ailleurs	ADV	1	fixed
3	,	PUNCT	1	punct
4	tout	ADJ	6	amod
5	le	DET	6	det
6	monde	NOUN	8	nsubj
7	a	AUX	8	aux:tense
8	constaté	VERB	0	root
9	l'	DET	10	det
10	absence	NOUN	8	obj
11	,	PUNCT	13	punct
12	presque	ADV	13	advmod
13	totale	ADJ	10	amod
14	,	PUNCT	17	punct
15	des	_	None	_
16	de	ADP	17	case
17	les	DET	17	det
18	forces	NOUN	10	nmod
19	de	ADP	19	case
20	sécurité	NOUN	17	nmod
21	à	ADP	21	case
22	Layoune	PROPN	10	nmod
23	,	PUNCT	24	punct
24	le	DET	24	det
25	matin	NOUN	8	obl:mod
26	du	_	None	_
27	de	ADP	27	case
28	le	DET	27	det
29	lundi	NOUN	24	nmod
30	8	NUM	27	nmod
31	novembre	NOUN	28	nmod
32	.	PUNCT	8	punct