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:
Licencié en lettres françaises, Lazhari Labter est journaliste dans plusieurs quotidiens et hebdomadaires algériens (notamment dans Révolution africaine de 1985 à 1989).
Postion	Tokenization
1	Licencié
2	en
3	lettres
4	françaises
5	,
6	Lazhari
7	Labter
8	est
9	journaliste
10	dans
11	plusieurs
12	quotidiens
13	et
14	hebdomadaires
15	algériens
16	(
17	notamment
18	dans
19	Révolution
20	africaine
21	de
22	1985
23	à
24	1989
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Licencié	VERB	9	advcl
2	en	ADP	3	case
3	lettres	NOUN	1	obl:mod
4	françaises	ADJ	3	amod
5	,	PUNCT	1	punct
6	Lazhari	PROPN	9	nsubj
7	Labter	PROPN	6	flat:name
8	est	AUX	9	cop
9	journaliste	NOUN	0	root
10	dans	ADP	12	case
11	plusieurs	DET	12	det
12	quotidiens	NOUN	9	nmod
13	et	CCONJ	14	cc
14	hebdomadaires	NOUN	12	conj
15	algériens	ADJ	12	amod
16	(	PUNCT	19	punct
17	notamment	ADV	19	advmod
18	dans	ADP	19	case
19	Révolution	NOUN	9	nmod
20	africaine	ADJ	19	amod
21	de	ADP	22	case
22	1985	NUM	19	nmod
23	à	ADP	24	case
24	1989	NUM	22	nmod
25	)	PUNCT	19	punct
26	.	PUNCT	9	punct