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:
En décembre 2006, un nouveau sondage indiqua que Rudd recevait deux fois plus d'avis favorable que Beazley pour prendre la tête du parti et il annonça alors sa candidature contre Beazley.
Postion	Tokenization
1	En
2	décembre
3	2006
4	,
5	un
6	nouveau
7	sondage
8	indiqua
9	que
10	Rudd
11	recevait
12	deux
13	fois
14	plus
15	d'
16	avis
17	favorable
18	que
19	Beazley
20	pour
21	prendre
22	la
23	tête
24	du
25	de
26	le
27	parti
28	et
29	il
30	annonça
31	alors
32	sa
33	candidature
34	contre
35	Beazley
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	décembre	NOUN	8	obl:mod
3	2006	NUM	2	nmod
4	,	PUNCT	2	punct
5	un	DET	7	det
6	nouveau	ADJ	7	amod
7	sondage	NOUN	8	nsubj
8	indiqua	VERB	0	root
9	que	SCONJ	11	mark
10	Rudd	PROPN	11	nsubj
11	recevait	VERB	8	ccomp:obj
12	deux	NUM	13	nummod
13	fois	NOUN	14	nmod
14	plus	ADV	11	obj
15	d'	ADP	16	case
16	avis	NOUN	14	dep:comp
17	favorable	ADJ	16	amod
18	que	SCONJ	19	case
19	Beazley	PROPN	14	obj
20	pour	ADP	21	mark
21	prendre	VERB	11	advcl
22	la	DET	23	det
23	tête	NOUN	21	obj
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	parti	NOUN	23	nmod
28	et	CCONJ	29	cc
29	il	PRON	29	nsubj
30	annonça	VERB	8	conj
31	alors	ADV	29	advmod
32	sa	DET	32	det
33	candidature	NOUN	29	obj
34	contre	ADP	34	case
35	Beazley	PROPN	29	obl:mod
36	.	PUNCT	8	punct