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:
Ainsi, selon le spécialiste de biologie marine de l'Université de Gdansk, le professeur Maciej Wolowicz, le plus grand danger est probablement un processus biologique complexe privant la Baltique de son oxygène, l'eutrophisation.
Postion	Tokenization
1	Ainsi
2	,
3	selon
4	le
5	spécialiste
6	de
7	biologie
8	marine
9	de
10	l'
11	Université
12	de
13	Gdansk
14	,
15	le
16	professeur
17	Maciej
18	Wolowicz
19	,
20	le
21	plus
22	grand
23	danger
24	est
25	probablement
26	un
27	processus
28	biologique
29	complexe
30	privant
31	la
32	Baltique
33	de
34	son
35	oxygène
36	,
37	l'
38	eutrophisation
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Ainsi	ADV	27	advmod
2	,	PUNCT	1	punct
3	selon	ADP	5	case
4	le	DET	5	det
5	spécialiste	NOUN	27	obl:mod
6	de	ADP	7	case
7	biologie	NOUN	5	nmod
8	marine	ADJ	7	amod
9	de	ADP	11	case
10	l'	DET	11	det
11	Université	NOUN	5	nmod
12	de	ADP	13	case
13	Gdansk	PROPN	11	nmod
14	,	PUNCT	16	punct
15	le	DET	16	det
16	professeur	NOUN	5	appos
17	Maciej	PROPN	16	appos
18	Wolowicz	PROPN	17	flat:name
19	,	PUNCT	5	punct
20	le	DET	23	det
21	plus	ADV	22	advmod
22	grand	ADJ	23	amod
23	danger	NOUN	27	nsubj
24	est	AUX	27	cop
25	probablement	ADV	27	advmod
26	un	DET	27	det
27	processus	NOUN	0	root
28	biologique	ADJ	27	amod
29	complexe	ADJ	27	amod
30	privant	VERB	27	acl
31	la	DET	32	det
32	Baltique	PROPN	30	obj
33	de	ADP	35	case
34	son	DET	35	det
35	oxygène	NOUN	30	obl:arg
36	,	PUNCT	38	punct
37	l'	DET	38	det
38	eutrophisation	NOUN	27	appos
39	.	PUNCT	27	punct