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:
Les 22 autres milliards prévus pour le grand emprunt national seront empruntés sur les marchés par l'Agence France Trésor, en plusieurs fois durant l'année 2010.
Postion	Tokenization
1	Les
2	22
3	autres
4	milliards
5	prévus
6	pour
7	le
8	grand
9	emprunt
10	national
11	seront
12	empruntés
13	sur
14	les
15	marchés
16	par
17	l'
18	Agence
19	France
20	Trésor
21	,
22	en
23	plusieurs
24	fois
25	durant
26	l'
27	année
28	2010
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	4	det
2	22	NUM	4	nummod
3	autres	ADJ	4	amod
4	milliards	NOUN	12	nsubj:pass
5	prévus	VERB	4	acl
6	pour	ADP	9	case
7	le	DET	9	det
8	grand	ADJ	9	amod
9	emprunt	NOUN	5	obl:mod
10	national	ADJ	9	amod
11	seront	AUX	12	aux:pass
12	empruntés	VERB	0	root
13	sur	ADP	15	case
14	les	DET	15	det
15	marchés	NOUN	12	obl:mod
16	par	ADP	18	case
17	l'	DET	18	det
18	Agence	PROPN	12	obl:agent
19	France	PROPN	18	appos
20	Trésor	PROPN	19	flat:name
21	,	PUNCT	24	punct
22	en	ADP	24	case
23	plusieurs	DET	24	det
24	fois	NOUN	12	obl:mod
25	durant	ADP	27	case
26	l'	DET	27	det
27	année	NOUN	12	obl:mod
28	2010	NUM	27	nmod
29	.	PUNCT	12	punct