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:
Le 20 juin, le Secrétaire général de l'Elysée Claude Guéant a été reçu à Alger par le président Bouteflika et le Premier ministre Ahmed Ouyahia.
Postion	Tokenization
1	Le
2	20
3	juin
4	,
5	le
6	Secrétaire
7	général
8	de
9	l'
10	Elysée
11	Claude
12	Guéant
13	a
14	été
15	reçu
16	à
17	Alger
18	par
19	le
20	président
21	Bouteflika
22	et
23	le
24	Premier
25	ministre
26	Ahmed
27	Ouyahia
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	20	NUM	15	obl:mod
3	juin	NOUN	2	nmod
4	,	PUNCT	2	punct
5	le	DET	6	det
6	Secrétaire	PROPN	15	nsubj:pass
7	général	ADJ	6	amod
8	de	ADP	10	case
9	l'	DET	10	det
10	Elysée	PROPN	6	nmod
11	Claude	PROPN	6	appos
12	Guéant	PROPN	11	flat:name
13	a	AUX	15	aux:tense
14	été	AUX	15	aux:pass
15	reçu	VERB	0	root
16	à	ADP	17	case
17	Alger	PROPN	15	obl:mod
18	par	ADP	20	case
19	le	DET	20	det
20	président	NOUN	15	obl:agent
21	Bouteflika	PROPN	20	appos
22	et	CCONJ	25	cc
23	le	DET	25	det
24	Premier	ADJ	25	amod
25	ministre	NOUN	20	conj
26	Ahmed	PROPN	25	appos
27	Ouyahia	PROPN	26	flat:name
28	.	PUNCT	15	punct