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:
Pour accélérer la collecte et l'envoi de nourriture, les organisations de secours ont utilisé des réseaux sociaux comme Facebook, Twitter ou Hi5.
Postion	Tokenization
1	Pour
2	accélérer
3	la
4	collecte
5	et
6	l'
7	envoi
8	de
9	nourriture
10	,
11	les
12	organisations
13	de
14	secours
15	ont
16	utilisé
17	des
18	réseaux
19	sociaux
20	comme
21	Facebook
22	,
23	Twitter
24	ou
25	Hi5
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	accélérer	VERB	16	advcl
3	la	DET	4	det
4	collecte	NOUN	2	obj
5	et	CCONJ	7	cc
6	l'	DET	7	det
7	envoi	NOUN	4	conj
8	de	ADP	9	case
9	nourriture	NOUN	4	nmod
10	,	PUNCT	2	punct
11	les	DET	12	det
12	organisations	NOUN	16	nsubj
13	de	ADP	14	case
14	secours	NOUN	12	nmod
15	ont	AUX	16	aux:tense
16	utilisé	VERB	0	root
17	des	DET	18	det
18	réseaux	NOUN	16	obj
19	sociaux	ADJ	18	amod
20	comme	ADP	21	case
21	Facebook	PROPN	18	nmod
22	,	PUNCT	23	punct
23	Twitter	PROPN	21	conj
24	ou	CCONJ	25	cc
25	Hi5	PROPN	21	conj
26	.	PUNCT	16	punct