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:
Salah Eddine a demandé à nouveau qu'on le laisse tranquille et les policiers sont partis en disant « désolés pour le dérangement ».
Postion	Tokenization
1	Salah
2	Eddine
3	a
4	demandé
5	à
6	nouveau
7	qu'
8	on
9	le
10	laisse
11	tranquille
12	et
13	les
14	policiers
15	sont
16	partis
17	en
18	disant
19	«
20	désolés
21	pour
22	le
23	dérangement
24	»
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Salah	PROPN	4	nsubj
2	Eddine	PROPN	1	flat:name
3	a	AUX	4	aux:tense
4	demandé	VERB	0	root
5	à	ADP	4	advmod
6	nouveau	ADJ	5	fixed
7	qu'	SCONJ	10	mark
8	on	PRON	10	nsubj
9	le	PRON	10	obj
10	laisse	VERB	4	ccomp:obj
11	tranquille	ADJ	10	xcomp:pred
12	et	CCONJ	16	cc
13	les	DET	14	det
14	policiers	NOUN	16	nsubj
15	sont	AUX	16	aux:tense
16	partis	VERB	10	conj
17	en	ADP	18	mark
18	disant	VERB	16	advcl
19	«	PUNCT	20	punct
20	désolés	ADJ	18	obj
21	pour	ADP	23	case
22	le	DET	23	det
23	dérangement	NOUN	20	nmod
24	»	PUNCT	20	punct
25	.	PUNCT	4	punct