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:
En fait, la famille Ben Barka a acquis la certitude que tout est fait pour empêcher le juge Patrick Ramaël de mener à bien ses investigations.
Postion	Tokenization
1	En
2	fait
3	,
4	la
5	famille
6	Ben
7	Barka
8	a
9	acquis
10	la
11	certitude
12	que
13	tout
14	est
15	fait
16	pour
17	empêcher
18	le
19	juge
20	Patrick
21	Ramaël
22	de
23	mener
24	à
25	bien
26	ses
27	investigations
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	9	advmod
2	fait	NOUN	1	fixed
3	,	PUNCT	1	punct
4	la	DET	5	det
5	famille	NOUN	9	nsubj
6	Ben	PROPN	5	appos
7	Barka	PROPN	6	flat:name
8	a	AUX	9	aux:tense
9	acquis	VERB	0	root
10	la	DET	11	det
11	certitude	NOUN	9	obj
12	que	SCONJ	15	mark
13	tout	PRON	15	nsubj:pass
14	est	AUX	15	aux:pass
15	fait	VERB	11	acl
16	pour	ADP	17	mark
17	empêcher	VERB	15	advcl
18	le	DET	19	det
19	juge	NOUN	17	obj
20	Patrick	PROPN	19	appos
21	Ramaël	PROPN	20	flat:name
22	de	ADP	23	mark
23	mener	VERB	17	xcomp:obl
24	à	ADP	25	case
25	bien	ADV	23	obl:arg
26	ses	DET	27	det
27	investigations	NOUN	23	obj
28	.	PUNCT	9	punct