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:
Elle collectera ainsi des timbres de ravitaillement et de l'argent pour venir en aide à ceux dont l'existence était menacée par l'occupant nazi.
Postion	Tokenization
1	Elle
2	collectera
3	ainsi
4	des
5	timbres
6	de
7	ravitaillement
8	et
9	de
10	l'
11	argent
12	pour
13	venir
14	en
15	aide
16	à
17	ceux
18	dont
19	l'
20	existence
21	était
22	menacée
23	par
24	l'
25	occupant
26	nazi
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	collectera	VERB	0	root
3	ainsi	ADV	2	advmod
4	des	DET	5	det
5	timbres	NOUN	2	obj
6	de	ADP	7	case
7	ravitaillement	NOUN	5	nmod
8	et	CCONJ	11	cc
9	de	ADP	11	case
10	l'	DET	11	det
11	argent	NOUN	7	conj
12	pour	ADP	13	mark
13	venir	VERB	2	advcl
14	en	ADP	15	case
15	aide	NOUN	13	obl:mod
16	à	ADP	17	case
17	ceux	PRON	15	nmod
18	dont	PRON	20	nmod
19	l'	DET	20	det
20	existence	NOUN	22	nsubj:pass
21	était	AUX	22	aux:pass
22	menacée	VERB	17	acl:relcl
23	par	ADP	25	case
24	l'	DET	25	det
25	occupant	NOUN	22	obl:agent
26	nazi	ADJ	25	amod
27	.	PUNCT	2	punct