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:
Les performances financières commencent à s'améliorer, Chrysler fournissant maintenant une part significative des profits de DaimlerChrysler, tandis que Daimler se lance dans des efforts de restructuration de la branche Mercedes.
Postion	Tokenization
1	Les
2	performances
3	financières
4	commencent
5	à
6	s'
7	améliorer
8	,
9	Chrysler
10	fournissant
11	maintenant
12	une
13	part
14	significative
15	des
16	de
17	les
18	profits
19	de
20	DaimlerChrysler
21	,
22	tandis
23	que
24	Daimler
25	se
26	lance
27	dans
28	des
29	efforts
30	de
31	restructuration
32	de
33	la
34	branche
35	Mercedes
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	performances	NOUN	4	nsubj
3	financières	ADJ	2	amod
4	commencent	VERB	0	root
5	à	ADP	7	mark
6	s'	PRON	7	expl:pass
7	améliorer	VERB	4	xcomp:obl
8	,	PUNCT	10	punct
9	Chrysler	PROPN	10	nsubj
10	fournissant	VERB	4	advcl
11	maintenant	ADV	10	advmod
12	une	DET	13	det
13	part	NOUN	10	obj
14	significative	ADJ	13	amod
15	des	_	None	_
16	de	ADP	17	case
17	les	DET	17	det
18	profits	NOUN	13	nmod
19	de	ADP	19	case
20	DaimlerChrysler	PROPN	17	nmod
21	,	PUNCT	25	punct
22	tandis	ADV	25	mark
23	que	SCONJ	21	fixed
24	Daimler	PROPN	25	nsubj
25	se	PRON	25	obj
26	lance	VERB	4	advcl
27	dans	ADP	28	case
28	des	DET	28	det
29	efforts	NOUN	25	obl:arg
30	de	ADP	30	case
31	restructuration	NOUN	28	nmod
32	de	ADP	33	case
33	la	DET	33	det
34	branche	NOUN	30	nmod
35	Mercedes	PROPN	33	appos
36	.	PUNCT	4	punct