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:
Cette dernière raconte que le seigneur médiéval Hugues de Tessé sentant qu'il atteignait la fin de sa vie décida d'abandonner son cheval Rapide dans la forêt d'Andaine.
Postion	Tokenization
1	Cette
2	dernière
3	raconte
4	que
5	le
6	seigneur
7	médiéval
8	Hugues
9	de
10	Tessé
11	sentant
12	qu'
13	il
14	atteignait
15	la
16	fin
17	de
18	sa
19	vie
20	décida
21	d'
22	abandonner
23	son
24	cheval
25	Rapide
26	dans
27	la
28	forêt
29	d'
30	Andaine
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	dernière	ADJ	3	nsubj
3	raconte	VERB	0	root
4	que	SCONJ	20	mark
5	le	DET	6	det
6	seigneur	NOUN	20	nsubj
7	médiéval	ADJ	6	amod
8	Hugues	PROPN	6	appos
9	de	ADP	10	case
10	Tessé	PROPN	8	nmod
11	sentant	VERB	6	acl
12	qu'	SCONJ	14	mark
13	il	PRON	14	nsubj
14	atteignait	VERB	11	ccomp:obj
15	la	DET	16	det
16	fin	NOUN	14	obj
17	de	ADP	19	case
18	sa	DET	19	det
19	vie	NOUN	16	nmod
20	décida	VERB	3	ccomp:obj
21	d'	ADP	22	mark
22	abandonner	VERB	20	xcomp:obj
23	son	DET	24	det
24	cheval	NOUN	22	obj
25	Rapide	PROPN	24	appos
26	dans	ADP	28	case
27	la	DET	28	det
28	forêt	NOUN	22	obl:mod
29	d'	ADP	30	case
30	Andaine	PROPN	28	nmod
31	.	PUNCT	3	punct