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 transfuge Ahmedou Ould Souilem est arrivé hier à Madrid pour remplir ses fonctions d'ambassadeur du Maroc au Royaume d'Espagne.
Postion	Tokenization
1	Le
2	transfuge
3	Ahmedou
4	Ould
5	Souilem
6	est
7	arrivé
8	hier
9	à
10	Madrid
11	pour
12	remplir
13	ses
14	fonctions
15	d'
16	ambassadeur
17	du
18	de
19	le
20	Maroc
21	au
22	à
23	le
24	Royaume
25	d'
26	Espagne
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	transfuge	NOUN	7	nsubj
3	Ahmedou	PROPN	2	appos
4	Ould	PROPN	3	flat:name
5	Souilem	PROPN	4	flat:name
6	est	AUX	7	aux:tense
7	arrivé	VERB	0	root
8	hier	ADV	7	advmod
9	à	ADP	10	case
10	Madrid	PROPN	7	obl:arg
11	pour	ADP	12	mark
12	remplir	VERB	7	advcl
13	ses	DET	14	det
14	fonctions	NOUN	12	obj
15	d'	ADP	16	case
16	ambassadeur	NOUN	14	nmod
17	du	_	None	_
18	de	ADP	19	case
19	le	DET	19	det
20	Maroc	PROPN	16	nmod
21	au	_	None	_
22	à	ADP	22	case
23	le	DET	22	det
24	Royaume	NOUN	16	nmod
25	d'	ADP	24	case
26	Espagne	PROPN	22	nmod
27	.	PUNCT	7	punct