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:
Quel était ce vicomte de Calvignac qui fut en somme le premier fondateur de ce monastère et dont cette statue à conservé le souvenir ?
Postion	Tokenization
1	Quel
2	était
3	ce
4	vicomte
5	de
6	Calvignac
7	qui
8	fut
9	en
10	somme
11	le
12	premier
13	fondateur
14	de
15	ce
16	monastère
17	et
18	dont
19	cette
20	statue
21	à
22	conservé
23	le
24	souvenir
25	?
Position	Tokenization	UPOS	Head	Deprel
1	Quel	PROPN	0	root
2	était	AUX	1	cop
3	ce	DET	4	det
4	vicomte	NOUN	1	nsubj
5	de	ADP	6	case
6	Calvignac	PROPN	4	nmod
7	qui	PRON	13	nsubj
8	fut	AUX	13	cop
9	en	ADP	10	case
10	somme	NOUN	13	obl:mod
11	le	DET	13	det
12	premier	ADJ	13	amod
13	fondateur	NOUN	4	acl:relcl
14	de	ADP	16	case
15	ce	DET	16	det
16	monastère	NOUN	13	nmod
17	et	CCONJ	22	cc
18	dont	PRON	24	nmod
19	cette	DET	20	det
20	statue	NOUN	22	nsubj
21	à	AUX	22	aux:tense
22	conservé	VERB	13	conj
23	le	DET	24	det
24	souvenir	NOUN	22	obj
25	?	PUNCT	1	punct