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 la revend deux ans plus tard lorsqu'elle s'aperçoit que l'élevage des yorkshires est une activité financièrement plus intéressante.
Postion	Tokenization
1	Elle
2	la
3	revend
4	deux
5	ans
6	plus
7	tard
8	lorsqu'
9	elle
10	s'
11	aperçoit
12	que
13	l'
14	élevage
15	des
16	de
17	les
18	yorkshires
19	est
20	une
21	activité
22	financièrement
23	plus
24	intéressante
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	la	PRON	3	obj
3	revend	VERB	0	root
4	deux	NUM	5	nummod
5	ans	NOUN	3	obl:mod
6	plus	ADV	7	advmod
7	tard	ADV	5	advmod
8	lorsqu'	SCONJ	11	mark
9	elle	PRON	11	nsubj
10	s'	PRON	11	dep:comp
11	aperçoit	VERB	3	advcl
12	que	SCONJ	20	mark
13	l'	DET	14	det
14	élevage	NOUN	20	nsubj
15	des	_	None	_
16	de	ADP	17	case
17	les	DET	17	det
18	yorkshires	NOUN	14	nmod
19	est	AUX	20	cop
20	une	DET	20	det
21	activité	NOUN	11	ccomp:obj
22	financièrement	ADV	22	advmod
23	plus	ADV	23	advmod
24	intéressante	ADJ	20	amod
25	.	PUNCT	3	punct