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:
L'ancien ministre des Affaires étrangères, bien imprégné des réalités internationales, aura pesé de tout son poids pour permettre à l'Algérie de regagner sa place dans le concert des nations.
Postion	Tokenization
1	L'
2	ancien
3	ministre
4	des
5	de
6	les
7	Affaires
8	étrangères
9	,
10	bien
11	imprégné
12	des
13	de
14	les
15	réalités
16	internationales
17	,
18	aura
19	pesé
20	de
21	tout
22	son
23	poids
24	pour
25	permettre
26	à
27	l'
28	Algérie
29	de
30	regagner
31	sa
32	place
33	dans
34	le
35	concert
36	des
37	de
38	les
39	nations
40	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	3	det
2	ancien	ADJ	3	amod
3	ministre	NOUN	17	nsubj
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	Affaires	NOUN	3	nmod
8	étrangères	ADJ	6	amod
9	,	PUNCT	10	punct
10	bien	ADV	10	advmod
11	imprégné	VERB	3	acl
12	des	_	None	_
13	de	ADP	13	case
14	les	DET	13	det
15	réalités	NOUN	10	obl:arg
16	internationales	ADJ	13	amod
17	,	PUNCT	10	punct
18	aura	AUX	17	aux:tense
19	pesé	VERB	0	root
20	de	ADP	21	case
21	tout	ADJ	21	amod
22	son	DET	21	det
23	poids	NOUN	17	obl:mod
24	pour	ADP	23	mark
25	permettre	VERB	17	advcl
26	à	ADP	26	case
27	l'	DET	26	det
28	Algérie	PROPN	23	obl:arg
29	de	ADP	28	mark
30	regagner	VERB	23	xcomp:obj
31	sa	DET	30	det
32	place	NOUN	28	obj
33	dans	ADP	33	case
34	le	DET	33	det
35	concert	NOUN	28	obl:mod
36	des	_	None	_
37	de	ADP	36	case
38	les	DET	36	det
39	nations	NOUN	33	nmod
40	.	PUNCT	17	punct