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:
Depuis les recherches d'Étienne Gilson, Martin Grabmann ou plus récemment Alain de Libera, la scolastique a été l'objet d'une large réévaluation.
Postion	Tokenization
1	Depuis
2	les
3	recherches
4	d'
5	Étienne
6	Gilson
7	,
8	Martin
9	Grabmann
10	ou
11	plus
12	récemment
13	Alain
14	de
15	Libera
16	,
17	la
18	scolastique
19	a
20	été
21	l'
22	objet
23	d'
24	une
25	large
26	réévaluation
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Depuis	ADP	3	case
2	les	DET	3	det
3	recherches	NOUN	22	obl:mod
4	d'	ADP	5	case
5	Étienne	PROPN	3	nmod
6	Gilson	PROPN	5	flat:name
7	,	PUNCT	8	punct
8	Martin	PROPN	5	conj
9	Grabmann	PROPN	8	flat:name
10	ou	CCONJ	13	cc
11	plus	ADV	12	advmod
12	récemment	ADV	13	advmod
13	Alain	PROPN	5	conj
14	de	ADP	13	flat:name
15	Libera	PROPN	14	flat:name
16	,	PUNCT	3	punct
17	la	DET	18	det
18	scolastique	NOUN	22	nsubj
19	a	AUX	22	aux:tense
20	été	AUX	22	cop
21	l'	DET	22	det
22	objet	NOUN	0	root
23	d'	ADP	26	case
24	une	DET	26	det
25	large	ADJ	26	amod
26	réévaluation	NOUN	22	nmod
27	.	PUNCT	22	punct