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:
Ces mêmes blessures qui lui permettrons de décrocher cinq titularisations dans cette fin de saison, ce qui lui permettra de remporter le titre honorifique de meilleur jeune Hammer 2007-2008.
Postion	Tokenization
1	Ces
2	mêmes
3	blessures
4	qui
5	lui
6	permettrons
7	de
8	décrocher
9	cinq
10	titularisations
11	dans
12	cette
13	fin
14	de
15	saison
16	,
17	ce
18	qui
19	lui
20	permettra
21	de
22	remporter
23	le
24	titre
25	honorifique
26	de
27	meilleur
28	jeune
29	Hammer
30	2007-2008
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ces	DET	3	det
2	mêmes	ADJ	3	amod
3	blessures	NOUN	0	root
4	qui	PRON	6	nsubj
5	lui	PRON	6	obl:arg
6	permettrons	VERB	3	acl:relcl
7	de	ADP	8	mark
8	décrocher	VERB	6	xcomp:obj
9	cinq	NUM	10	nummod
10	titularisations	NOUN	8	obj
11	dans	ADP	13	case
12	cette	DET	13	det
13	fin	NOUN	8	obl:mod
14	de	ADP	15	case
15	saison	NOUN	13	nmod
16	,	PUNCT	17	punct
17	ce	PRON	3	appos
18	qui	PRON	20	nsubj
19	lui	PRON	20	obl:arg
20	permettra	VERB	17	acl:relcl
21	de	ADP	22	mark
22	remporter	VERB	20	xcomp:obj
23	le	DET	24	det
24	titre	NOUN	22	obj
25	honorifique	ADJ	24	amod
26	de	ADP	29	case
27	meilleur	ADJ	29	amod
28	jeune	ADJ	29	amod
29	Hammer	PROPN	24	nmod
30	2007-2008	NUM	29	nmod
31	.	PUNCT	3	punct