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:
La Bourse de Paris s'oriente vers une deuxième séance de consolidation un an jour pour jour après avoir touché un plus bas de douze ans, au plus fort de la crise financière.
Postion	Tokenization
1	La
2	Bourse
3	de
4	Paris
5	s'
6	oriente
7	vers
8	une
9	deuxième
10	séance
11	de
12	consolidation
13	un
14	an
15	jour
16	pour
17	jour
18	après
19	avoir
20	touché
21	un
22	plus
23	bas
24	de
25	douze
26	ans
27	,
28	au
29	à
30	le
31	plus
32	fort
33	de
34	la
35	crise
36	financière
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Bourse	NOUN	6	nsubj
3	de	ADP	4	case
4	Paris	PROPN	2	nmod
5	s'	PRON	6	obj
6	oriente	VERB	0	root
7	vers	ADP	10	case
8	une	DET	10	det
9	deuxième	ADJ	10	amod
10	séance	NOUN	6	obl:mod
11	de	ADP	12	case
12	consolidation	NOUN	10	nmod
13	un	DET	14	det
14	an	NOUN	6	obl:mod
15	jour	NOUN	14	nmod
16	pour	ADP	17	case
17	jour	NOUN	15	nmod
18	après	ADP	20	mark
19	avoir	AUX	20	aux:tense
20	touché	VERB	6	advcl
21	un	DET	23	det
22	plus	ADV	23	advmod
23	bas	ADJ	20	obj
24	de	ADP	26	case
25	douze	NUM	26	nummod
26	ans	NOUN	20	obl:mod
27	,	PUNCT	31	punct
28	au	_	None	_
29	à	ADP	31	case
30	le	DET	31	advmod
31	plus	ADV	29	fixed
32	fort	ADV	20	obl:mod
33	de	ADP	34	case
34	la	DET	34	det
35	crise	NOUN	31	obl:arg
36	financière	ADJ	34	amod
37	.	PUNCT	6	punct