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 a, à cet effet, souhaité une augmentation de 142 millions de dollars des fonds d'assistance du Programme alimentaire mondial déboursés en faveur des agriculteurs de l'Afghanistan.
Postion	Tokenization
1	Il
2	a
3	,
4	à
5	cet
6	effet
7	,
8	souhaité
9	une
10	augmentation
11	de
12	142
13	millions
14	de
15	dollars
16	des
17	de
18	les
19	fonds
20	d'
21	assistance
22	du
23	de
24	le
25	Programme
26	alimentaire
27	mondial
28	déboursés
29	en
30	faveur
31	des
32	de
33	les
34	agriculteurs
35	de
36	l'
37	Afghanistan
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	8	nsubj
2	a	AUX	8	aux:tense
3	,	PUNCT	4	punct
4	à	ADP	8	advmod
5	cet	DET	4	fixed
6	effet	NOUN	4	fixed
7	,	PUNCT	4	punct
8	souhaité	VERB	0	root
9	une	DET	10	det
10	augmentation	NOUN	8	obj
11	de	ADP	13	case
12	142	NUM	13	nummod
13	millions	NOUN	10	nmod
14	de	ADP	15	case
15	dollars	NOUN	13	nmod
16	des	_	None	_
17	de	ADP	18	case
18	les	DET	18	det
19	fonds	NOUN	10	nmod
20	d'	ADP	20	case
21	assistance	NOUN	18	nmod
22	du	_	None	_
23	de	ADP	23	case
24	le	DET	23	det
25	Programme	NOUN	18	nmod
26	alimentaire	ADJ	23	amod
27	mondial	ADJ	23	amod
28	déboursés	VERB	18	acl
29	en	ADP	28	case
30	faveur	NOUN	26	obl:mod
31	des	_	None	_
32	de	ADP	31	case
33	les	DET	31	det
34	agriculteurs	NOUN	28	nmod
35	de	ADP	34	case
36	l'	DET	34	det
37	Afghanistan	PROPN	31	nmod
38	.	PUNCT	8	punct