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:
Castor, Nanours et Lili décident donc de remonter la rivière pour trouver l'origine de ces messages, mais ils devront affronter les obstacles qui se dressent devant eux, comme si quelqu'un voulait vraiment les empêcher de secourir l'auteur des messages.
Postion	Tokenization
1	Castor
2	,
3	Nanours
4	et
5	Lili
6	décident
7	donc
8	de
9	remonter
10	la
11	rivière
12	pour
13	trouver
14	l'
15	origine
16	de
17	ces
18	messages
19	,
20	mais
21	ils
22	devront
23	affronter
24	les
25	obstacles
26	qui
27	se
28	dressent
29	devant
30	eux
31	,
32	comme
33	si
34	quelqu'un
35	voulait
36	vraiment
37	les
38	empêcher
39	de
40	secourir
41	l'
42	auteur
43	des
44	de
45	les
46	messages
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Castor	PROPN	6	nsubj
2	,	PUNCT	3	punct
3	Nanours	PROPN	1	conj
4	et	CCONJ	5	cc
5	Lili	PROPN	1	conj
6	décident	VERB	0	root
7	donc	ADV	6	advmod
8	de	ADP	9	mark
9	remonter	VERB	6	xcomp:obj
10	la	DET	11	det
11	rivière	NOUN	9	obj
12	pour	ADP	13	mark
13	trouver	VERB	9	advcl
14	l'	DET	15	det
15	origine	NOUN	13	obj
16	de	ADP	18	case
17	ces	DET	18	det
18	messages	NOUN	15	nmod
19	,	PUNCT	22	punct
20	mais	CCONJ	22	cc
21	ils	PRON	22	nsubj
22	devront	VERB	6	conj
23	affronter	VERB	22	xcomp:obj
24	les	DET	25	det
25	obstacles	NOUN	23	obj
26	qui	PRON	28	nsubj:pass
27	se	PRON	28	expl:pass
28	dressent	VERB	25	acl:relcl
29	devant	ADP	30	case
30	eux	PRON	28	obl:mod
31	,	PUNCT	35	punct
32	comme	SCONJ	35	mark
33	si	SCONJ	35	mark
34	quelqu'un	PRON	35	nsubj
35	voulait	VERB	22	advcl
36	vraiment	ADV	35	advmod
37	les	PRON	38	obj
38	empêcher	VERB	35	xcomp:obj
39	de	ADP	40	mark
40	secourir	VERB	38	xcomp:obl
41	l'	DET	42	det
42	auteur	NOUN	40	obj
43	des	_	None	_
44	de	ADP	45	case
45	les	DET	45	det
46	messages	NOUN	42	nmod
47	.	PUNCT	6	punct