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:
Il rationalise la manière dont les cas d'OVNI sont décrits et analysés, en partie dans l'espoir de rendre les témoignages moins ridicules aux yeux de ses supérieurs.
Postion	Tokenization
1	Il
2	rationalise
3	la
4	manière
5	dont
6	les
7	cas
8	d'
9	OVNI
10	sont
11	décrits
12	et
13	analysés
14	,
15	en
16	partie
17	dans
18	l'
19	espoir
20	de
21	rendre
22	les
23	témoignages
24	moins
25	ridicules
26	aux
27	à
28	les
29	yeux
30	de
31	ses
32	supérieurs
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	rationalise	VERB	0	root
3	la	DET	4	det
4	manière	NOUN	2	obj
5	dont	PRON	11	obl:arg
6	les	DET	7	det
7	cas	NOUN	11	nsubj:pass
8	d'	ADP	9	case
9	OVNI	NOUN	7	nmod
10	sont	AUX	11	aux:pass
11	décrits	VERB	4	acl:relcl
12	et	CCONJ	13	cc
13	analysés	VERB	11	conj
14	,	PUNCT	16	punct
15	en	ADP	16	case
16	partie	NOUN	2	obl:mod
17	dans	ADP	19	case
18	l'	DET	19	det
19	espoir	NOUN	2	obl:mod
20	de	ADP	21	mark
21	rendre	VERB	19	acl
22	les	DET	23	det
23	témoignages	NOUN	21	obj
24	moins	ADV	25	advmod
25	ridicules	ADJ	21	xcomp:pred
26	aux	_	None	_
27	à	ADP	28	case
28	les	DET	28	det
29	yeux	NOUN	21	obl:mod
30	de	ADP	31	case
31	ses	DET	31	det
32	supérieurs	NOUN	28	nmod
33	.	PUNCT	2	punct