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:
Ce n'est pas le plan de réduction de la dette, sur laquelle le Congrès et la Maison Blanche ont fini par se mettre d'accord, qui va améliorer la demande.
Postion	Tokenization
1	Ce
2	n'
3	est
4	pas
5	le
6	plan
7	de
8	réduction
9	de
10	la
11	dette
12	,
13	sur
14	laquelle
15	le
16	Congrès
17	et
18	la
19	Maison
20	Blanche
21	ont
22	fini
23	par
24	se
25	mettre
26	d'
27	accord
28	,
29	qui
30	va
31	améliorer
32	la
33	demande
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Ce	PRON	6	expl:subj
2	n'	ADV	6	advmod
3	est	AUX	6	cop
4	pas	ADV	6	advmod
5	le	DET	6	det
6	plan	NOUN	0	root
7	de	ADP	8	case
8	réduction	NOUN	6	nmod
9	de	ADP	11	case
10	la	DET	11	det
11	dette	NOUN	8	nmod
12	,	PUNCT	22	punct
13	sur	ADP	14	case
14	laquelle	PRON	22	obl:mod
15	le	DET	16	det
16	Congrès	NOUN	22	nsubj
17	et	CCONJ	19	cc
18	la	DET	19	det
19	Maison	PROPN	16	conj
20	Blanche	PROPN	19	flat:name
21	ont	AUX	22	aux:tense
22	fini	VERB	8	acl:relcl
23	par	ADP	25	mark
24	se	PRON	25	obj
25	mettre	VERB	22	xcomp:obl
26	d'	ADP	25	xcomp:pred
27	accord	NOUN	26	fixed
28	,	PUNCT	30	punct
29	qui	PRON	30	nsubj
30	va	VERB	6	advcl:cleft
31	améliorer	VERB	30	xcomp:obj
32	la	DET	33	det
33	demande	NOUN	31	obj
34	.	PUNCT	6	punct