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:
Son père était un intellectuel connu dans la sphère académique européenne, bibliothécaire d'Anvers et plus tard le plus grand archiviste du royaume de Belgique.
Postion	Tokenization
1	Son
2	père
3	était
4	un
5	intellectuel
6	connu
7	dans
8	la
9	sphère
10	académique
11	européenne
12	,
13	bibliothécaire
14	d'
15	Anvers
16	et
17	plus
18	tard
19	le
20	plus
21	grand
22	archiviste
23	du
24	de
25	le
26	royaume
27	de
28	Belgique
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	père	NOUN	5	nsubj
3	était	AUX	5	cop
4	un	DET	5	det
5	intellectuel	NOUN	0	root
6	connu	VERB	5	acl
7	dans	ADP	9	case
8	la	DET	9	det
9	sphère	NOUN	6	obl:mod
10	académique	ADJ	9	amod
11	européenne	ADJ	9	amod
12	,	PUNCT	13	punct
13	bibliothécaire	NOUN	5	conj
14	d'	ADP	15	case
15	Anvers	PROPN	13	nmod
16	et	CCONJ	22	cc
17	plus	ADV	18	advmod
18	tard	ADV	22	advmod
19	le	DET	22	det
20	plus	ADV	21	advmod
21	grand	ADJ	22	amod
22	archiviste	NOUN	5	conj
23	du	_	None	_
24	de	ADP	25	case
25	le	DET	25	det
26	royaume	NOUN	22	nmod
27	de	ADP	27	case
28	Belgique	PROPN	25	nmod
29	.	PUNCT	5	punct