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:
Alexandre étudie à Hart Hall et Balliol College (Université d'Oxford), où la rencontre avec Robert Persons le fait revenir à la foi catholique.
Postion	Tokenization
1	Alexandre
2	étudie
3	à
4	Hart
5	Hall
6	et
7	Balliol
8	College
9	(
10	Université
11	d'
12	Oxford
13	)
14	,
15	où
16	la
17	rencontre
18	avec
19	Robert
20	Persons
21	le
22	fait
23	revenir
24	à
25	la
26	foi
27	catholique
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Alexandre	PROPN	2	nsubj
2	étudie	VERB	0	root
3	à	ADP	4	case
4	Hart	PROPN	2	obl:mod
5	Hall	PROPN	4	flat:name
6	et	CCONJ	7	cc
7	Balliol	PROPN	4	conj
8	College	PROPN	7	flat:name
9	(	PUNCT	10	punct
10	Université	NOUN	4	nmod
11	d'	ADP	12	case
12	Oxford	PROPN	10	nmod
13	)	PUNCT	10	punct
14	,	PUNCT	23	punct
15	où	ADV	23	advmod
16	la	DET	17	det
17	rencontre	NOUN	23	nsubj:caus
18	avec	ADP	19	case
19	Robert	PROPN	17	nmod
20	Persons	PROPN	19	flat:name
21	le	PRON	23	obj:agent
22	fait	AUX	23	aux:caus
23	revenir	VERB	4	acl:relcl
24	à	ADP	26	case
25	la	DET	26	det
26	foi	NOUN	23	obl:arg
27	catholique	ADJ	26	amod
28	.	PUNCT	2	punct