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:
De plus, il lui a sans doute fait étudier le latin et le grec, pré-requis de l'entrée à Cambridge, peut-être en paiement partiel du préceptorat.
Postion	Tokenization
1	De
2	plus
3	,
4	il
5	lui
6	a
7	sans
8	doute
9	fait
10	étudier
11	le
12	latin
13	et
14	le
15	grec
16	,
17	pré-requis
18	de
19	l'
20	entrée
21	à
22	Cambridge
23	,
24	peut-être
25	en
26	paiement
27	partiel
28	du
29	de
30	le
31	préceptorat
32	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	10	advmod
2	plus	ADV	1	fixed
3	,	PUNCT	1	punct
4	il	PRON	10	nsubj:caus
5	lui	PRON	10	iobj:agent
6	a	AUX	10	aux:tense
7	sans	ADP	10	advmod
8	doute	NOUN	7	fixed
9	fait	AUX	10	aux:caus
10	étudier	VERB	0	root
11	le	DET	12	det
12	latin	NOUN	10	obj
13	et	CCONJ	15	cc
14	le	DET	15	det
15	grec	NOUN	12	conj
16	,	PUNCT	17	punct
17	pré-requis	NOUN	12	appos
18	de	ADP	20	case
19	l'	DET	20	det
20	entrée	NOUN	17	nmod
21	à	ADP	22	case
22	Cambridge	PROPN	20	nmod
23	,	PUNCT	17	punct
24	peut-être	ADV	26	advmod
25	en	ADP	26	case
26	paiement	NOUN	10	obl:mod
27	partiel	ADJ	26	amod
28	du	_	None	_
29	de	ADP	30	case
30	le	DET	30	det
31	préceptorat	NOUN	26	nmod
32	.	PUNCT	10	punct