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:
ARF (Application Roll-over Facility) est un logiciel de haute disponibilité, fonctionnant sous AIX sur les machines Bull Escala ou Linux sur les serveurs Bull Novascale.
Postion	Tokenization
1	ARF
2	(
3	Application
4	Roll-over
5	Facility
6	)
7	est
8	un
9	logiciel
10	de
11	haute
12	disponibilité
13	,
14	fonctionnant
15	sous
16	AIX
17	sur
18	les
19	machines
20	Bull
21	Escala
22	ou
23	Linux
24	sur
25	les
26	serveurs
27	Bull
28	Novascale
29	.
Position	Tokenization	UPOS	Head	Deprel
1	ARF	PROPN	9	nsubj
2	(	PUNCT	5	punct
3	Application	NOUN	5	nmod
4	Roll-over	NOUN	5	nmod
5	Facility	NOUN	1	appos
6	)	PUNCT	5	punct
7	est	AUX	9	cop
8	un	DET	9	det
9	logiciel	NOUN	0	root
10	de	ADP	12	case
11	haute	ADJ	12	amod
12	disponibilité	NOUN	9	nmod
13	,	PUNCT	14	punct
14	fonctionnant	VERB	9	acl
15	sous	ADP	16	case
16	AIX	PROPN	14	obl:mod
17	sur	ADP	19	case
18	les	DET	19	det
19	machines	NOUN	14	obl:mod
20	Bull	PROPN	19	appos
21	Escala	PROPN	20	flat:name
22	ou	CCONJ	23	cc
23	Linux	PROPN	14	conj
24	sur	ADP	26	case
25	les	DET	26	det
26	serveurs	NOUN	23	orphan
27	Bull	PROPN	26	appos
28	Novascale	PROPN	27	flat:name
29	.	PUNCT	9	punct