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 mémoire, la station locale, comme toutes les autres bases de la Société nationale de sauvetage en mer (SNSM) est financée en majorité par les adhésions et les dons.
Postion	Tokenization
1	Pour
2	mémoire
3	,
4	la
5	station
6	locale
7	,
8	comme
9	toutes
10	les
11	autres
12	bases
13	de
14	la
15	Société
16	nationale
17	de
18	sauvetage
19	en
20	mer
21	(
22	SNSM
23	)
24	est
25	financée
26	en
27	majorité
28	par
29	les
30	adhésions
31	et
32	les
33	dons
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	case
2	mémoire	NOUN	25	obl:mod
3	,	PUNCT	2	punct
4	la	DET	5	det
5	station	NOUN	25	nsubj
6	locale	ADJ	5	amod
7	,	PUNCT	12	punct
8	comme	SCONJ	12	cc
9	toutes	ADJ	12	amod
10	les	DET	12	det
11	autres	ADJ	12	amod
12	bases	NOUN	5	conj
13	de	ADP	15	case
14	la	DET	15	det
15	Société	NOUN	5	nmod
16	nationale	ADJ	15	amod
17	de	ADP	18	case
18	sauvetage	NOUN	15	nmod
19	en	ADP	20	case
20	mer	NOUN	15	nmod
21	(	PUNCT	22	punct
22	SNSM	PROPN	15	appos
23	)	PUNCT	22	punct
24	est	AUX	25	aux:tense
25	financée	VERB	0	root
26	en	ADP	27	case
27	majorité	NOUN	25	obl:mod
28	par	ADP	30	case
29	les	DET	30	det
30	adhésions	NOUN	25	obl:arg
31	et	CCONJ	33	cc
32	les	DET	33	det
33	dons	NOUN	30	conj
34	.	PUNCT	25	punct