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:
Il est alors informé du cas d'Abdul-Wahab par Anny Boukris, installée alors à Los Angeles, qui meurt quelques semaines après que Satloff ait enregistré son témoignage ;
Postion	Tokenization
1	Il
2	est
3	alors
4	informé
5	du
6	de
7	le
8	cas
9	d'
10	Abdul-Wahab
11	par
12	Anny
13	Boukris
14	,
15	installée
16	alors
17	à
18	Los
19	Angeles
20	,
21	qui
22	meurt
23	quelques
24	semaines
25	après
26	que
27	Satloff
28	ait
29	enregistré
30	son
31	témoignage
32	;
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj
2	est	AUX	4	aux:tense
3	alors	ADV	4	advmod
4	informé	VERB	0	root
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	cas	NOUN	4	obl:arg
9	d'	ADP	9	case
10	Abdul-Wahab	PROPN	7	nmod
11	par	ADP	11	case
12	Anny	PROPN	4	obl:agent
13	Boukris	PROPN	11	flat:name
14	,	PUNCT	14	punct
15	installée	VERB	11	acl
16	alors	ADV	14	advmod
17	à	ADP	17	case
18	Los	PROPN	14	obl:arg
19	Angeles	PROPN	17	flat:name
20	,	PUNCT	21	punct
21	qui	PRON	21	nsubj
22	meurt	VERB	11	acl:relcl
23	quelques	DET	23	det
24	semaines	NOUN	21	obj
25	après	ADP	28	mark
26	que	SCONJ	28	mark
27	Satloff	PROPN	28	nsubj
28	ait	AUX	28	aux:tense
29	enregistré	VERB	21	advcl
30	son	DET	30	det
31	témoignage	NOUN	28	obj
32	;	PUNCT	4	punct