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:
Les grands perdants ont été les rentiers--hors immobilier--mais, a contrario, les petites gens ont vu leur situation générale s'améliorer.
Postion	Tokenization
1	Les
2	grands
3	perdants
4	ont
5	été
6	les
7	rentiers
8	--
9	hors
10	immobilier
11	--
12	mais
13	,
14	a
15	contrario
16	,
17	les
18	petites
19	gens
20	ont
21	vu
22	leur
23	situation
24	générale
25	s'
26	améliorer
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	3	det
2	grands	ADJ	3	amod
3	perdants	NOUN	7	nsubj
4	ont	AUX	7	aux:tense
5	été	AUX	7	cop
6	les	DET	7	det
7	rentiers	NOUN	0	root
8	--	PUNCT	10	punct
9	hors	ADP	10	case
10	immobilier	NOUN	7	nmod
11	--	PUNCT	10	punct
12	mais	CCONJ	21	cc
13	,	PUNCT	12	punct
14	a	ADP	21	advmod
15	contrario	NOUN	14	fixed
16	,	PUNCT	14	punct
17	les	DET	19	det
18	petites	ADJ	19	amod
19	gens	NOUN	21	nsubj
20	ont	AUX	21	aux:tense
21	vu	VERB	7	conj
22	leur	DET	23	det
23	situation	NOUN	21	obj
24	générale	ADJ	23	amod
25	s'	PRON	26	expl:pass
26	améliorer	VERB	21	xcomp:obj
27	.	PUNCT	7	punct