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:
A treize ans, il fut envoyé en Angleterre, au fameux collège de Harrow, où il passa trois ans, après quoi Fayçal le rappela pour le faire entrer à l'École militaire d'Irak.
Postion	Tokenization
1	A
2	treize
3	ans
4	,
5	il
6	fut
7	envoyé
8	en
9	Angleterre
10	,
11	au
12	à
13	le
14	fameux
15	collège
16	de
17	Harrow
18	,
19	où
20	il
21	passa
22	trois
23	ans
24	,
25	après
26	quoi
27	Fayçal
28	le
29	rappela
30	pour
31	le
32	faire
33	entrer
34	à
35	l'
36	École
37	militaire
38	d'
39	Irak
40	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	treize	NUM	3	nummod
3	ans	NOUN	7	obl:mod
4	,	PUNCT	3	punct
5	il	PRON	7	nsubj:pass
6	fut	AUX	7	aux:pass
7	envoyé	VERB	0	root
8	en	ADP	9	case
9	Angleterre	PROPN	7	obl:mod
10	,	PUNCT	14	punct
11	au	_	None	_
12	à	ADP	14	case
13	le	DET	14	det
14	fameux	ADJ	14	amod
15	collège	NOUN	7	obl:mod
16	de	ADP	16	case
17	Harrow	PROPN	14	nmod
18	,	PUNCT	20	punct
19	où	ADV	20	advmod
20	il	PRON	20	nsubj
21	passa	VERB	14	acl:relcl
22	trois	NUM	22	nummod
23	ans	NOUN	20	obj
24	,	PUNCT	28	punct
25	après	ADP	25	case
26	quoi	PRON	28	obl:mod
27	Fayçal	PROPN	28	nsubj
28	le	PRON	28	obj
29	rappela	VERB	7	conj
30	pour	ADP	32	mark
31	le	PRON	32	obj:agent
32	faire	AUX	32	aux:caus
33	entrer	VERB	28	advcl
34	à	ADP	35	case
35	l'	DET	35	det
36	École	NOUN	32	obl:arg
37	militaire	ADJ	35	amod
38	d'	ADP	38	case
39	Irak	PROPN	35	nmod
40	.	PUNCT	7	punct