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:
Ces mesures d'austérité s'articulent autour d'une hausse des prélèvements obligatoires, une réduction des dépenses publiques et une vague de privatisations.
Postion	Tokenization
1	Ces
2	mesures
3	d'
4	austérité
5	s'
6	articulent
7	autour
8	d'
9	une
10	hausse
11	des
12	de
13	les
14	prélèvements
15	obligatoires
16	,
17	une
18	réduction
19	des
20	de
21	les
22	dépenses
23	publiques
24	et
25	une
26	vague
27	de
28	privatisations
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ces	DET	2	det
2	mesures	NOUN	6	nsubj:pass
3	d'	ADP	4	case
4	austérité	NOUN	2	nmod
5	s'	PRON	6	expl:pass
6	articulent	VERB	0	root
7	autour	ADV	6	advmod
8	d'	ADP	10	case
9	une	DET	10	det
10	hausse	NOUN	7	obl:arg
11	des	_	None	_
12	de	ADP	13	case
13	les	DET	13	det
14	prélèvements	NOUN	10	nmod
15	obligatoires	ADJ	13	amod
16	,	PUNCT	17	punct
17	une	DET	17	det
18	réduction	NOUN	10	conj
19	des	_	None	_
20	de	ADP	20	case
21	les	DET	20	det
22	dépenses	NOUN	17	nmod
23	publiques	ADJ	20	amod
24	et	CCONJ	24	cc
25	une	DET	24	det
26	vague	NOUN	10	conj
27	de	ADP	26	case
28	privatisations	NOUN	24	nmod
29	.	PUNCT	6	punct