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:
Selon certains experts, il est cependant possible que cette pollution ait été causée par un séisme survenu il y a quelques temps au large de la côte danoise.
Postion	Tokenization
1	Selon
2	certains
3	experts
4	,
5	il
6	est
7	cependant
8	possible
9	que
10	cette
11	pollution
12	ait
13	été
14	causée
15	par
16	un
17	séisme
18	survenu
19	il
20	y
21	a
22	quelques
23	temps
24	au
25	à
26	le
27	large
28	de
29	la
30	côte
31	danoise
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	3	case
2	certains	DET	3	det
3	experts	NOUN	8	obl:mod
4	,	PUNCT	3	punct
5	il	PRON	8	expl:subj
6	est	AUX	8	cop
7	cependant	ADV	8	advmod
8	possible	ADJ	0	root
9	que	SCONJ	14	mark
10	cette	DET	11	det
11	pollution	NOUN	14	nsubj:pass
12	ait	AUX	14	aux:tense
13	été	AUX	14	aux:pass
14	causée	VERB	8	csubj
15	par	ADP	17	case
16	un	DET	17	det
17	séisme	NOUN	14	obl:agent
18	survenu	VERB	17	acl
19	il	PRON	23	case
20	y	PRON	19	fixed
21	a	VERB	19	fixed
22	quelques	DET	23	det
23	temps	NOUN	18	obl:mod
24	au	_	None	_
25	à	ADP	26	case
26	le	DET	26	det
27	large	NOUN	18	obl:mod
28	de	ADP	29	case
29	la	DET	29	det
30	côte	NOUN	26	nmod
31	danoise	ADJ	29	amod
32	.	PUNCT	8	punct