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:
Elle avait bénéficié une vingtaine d'années auparavant des largesses prodiguées par l'ancien évêque de Volterra Ranieri III (1301-1320), qui en était lui-même issu.
Postion	Tokenization
1	Elle
2	avait
3	bénéficié
4	une
5	vingtaine
6	d'
7	années
8	auparavant
9	des
10	de
11	les
12	largesses
13	prodiguées
14	par
15	l'
16	ancien
17	évêque
18	de
19	Volterra
20	Ranieri
21	III
22	(
23	1301-1320
24	)
25	,
26	qui
27	en
28	était
29	lui-même
30	issu
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	avait	AUX	3	aux:tense
3	bénéficié	VERB	0	root
4	une	DET	5	det
5	vingtaine	NOUN	3	obl:mod
6	d'	ADP	7	case
7	années	NOUN	5	nmod
8	auparavant	ADV	5	advmod
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	largesses	NOUN	3	obl:arg
13	prodiguées	VERB	11	acl
14	par	ADP	16	case
15	l'	DET	16	det
16	ancien	ADJ	16	amod
17	évêque	NOUN	12	obl:agent
18	de	ADP	18	case
19	Volterra	PROPN	16	nmod
20	Ranieri	PROPN	16	appos
21	III	NUM	19	nmod
22	(	PUNCT	22	punct
23	1301-1320	NUM	16	nmod
24	)	PUNCT	22	punct
25	,	PUNCT	29	punct
26	qui	PRON	29	nsubj
27	en	PRON	29	obl:arg
28	était	AUX	29	cop
29	lui-même	PRON	29	obl:mod
30	issu	ADJ	16	acl:relcl
31	.	PUNCT	3	punct