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:
Bien sur, je ne pouvais que regretter ma participation, mais je connaissais trop les enjeux et les dessous pour être surpris par de pareilles situations.
Postion	Tokenization
1	Bien
2	sur
3	,
4	je
5	ne
6	pouvais
7	que
8	regretter
9	ma
10	participation
11	,
12	mais
13	je
14	connaissais
15	trop
16	les
17	enjeux
18	et
19	les
20	dessous
21	pour
22	être
23	surpris
24	par
25	de
26	pareilles
27	situations
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Bien	ADV	6	advmod
2	sur	ADP	1	fixed
3	,	PUNCT	1	punct
4	je	PRON	6	nsubj
5	ne	ADV	6	advmod
6	pouvais	VERB	0	root
7	que	ADV	8	advmod
8	regretter	VERB	6	xcomp:obj
9	ma	DET	10	det
10	participation	NOUN	8	obj
11	,	PUNCT	14	punct
12	mais	CCONJ	14	cc
13	je	PRON	14	nsubj
14	connaissais	VERB	6	conj
15	trop	ADV	14	advmod
16	les	DET	17	det
17	enjeux	NOUN	14	obj
18	et	CCONJ	20	cc
19	les	DET	20	det
20	dessous	NOUN	17	conj
21	pour	ADP	23	mark
22	être	AUX	23	aux:pass
23	surpris	VERB	14	advcl
24	par	ADP	27	case
25	de	DET	27	det
26	pareilles	ADJ	27	amod
27	situations	NOUN	23	obl:agent
28	.	PUNCT	6	punct