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 a de même souligné l'appui de l'Arabie Saoudite pour le Liban, concluant que les positions du député Walid Joumblatt sont connues.
Postion	Tokenization
1	Il
2	a
3	de
4	même
5	souligné
6	l'
7	appui
8	de
9	l'
10	Arabie
11	Saoudite
12	pour
13	le
14	Liban
15	,
16	concluant
17	que
18	les
19	positions
20	du
21	de
22	le
23	député
24	Walid
25	Joumblatt
26	sont
27	connues
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	5	nsubj
2	a	AUX	5	aux:tense
3	de	ADP	5	advmod
4	même	ADV	3	fixed
5	souligné	VERB	0	root
6	l'	DET	7	det
7	appui	NOUN	5	obj
8	de	ADP	10	case
9	l'	DET	10	det
10	Arabie	PROPN	7	nmod
11	Saoudite	PROPN	10	flat:name
12	pour	ADP	14	case
13	le	DET	14	det
14	Liban	PROPN	7	nmod
15	,	PUNCT	16	punct
16	concluant	VERB	5	advcl
17	que	SCONJ	26	mark
18	les	DET	19	det
19	positions	NOUN	26	nsubj
20	du	_	None	_
21	de	ADP	22	case
22	le	DET	22	det
23	député	NOUN	19	nmod
24	Walid	PROPN	22	appos
25	Joumblatt	PROPN	23	flat:name
26	sont	AUX	26	aux:tense
27	connues	VERB	16	ccomp:obj
28	.	PUNCT	5	punct