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:
Ses axes de recherche actuels portent sur les outils et méthodes pour discerner les grandes ruptures à venir d'une façon simple, participative et efficace afin de mieux les anticiper.
Postion	Tokenization
1	Ses
2	axes
3	de
4	recherche
5	actuels
6	portent
7	sur
8	les
9	outils
10	et
11	méthodes
12	pour
13	discerner
14	les
15	grandes
16	ruptures
17	à
18	venir
19	d'
20	une
21	façon
22	simple
23	,
24	participative
25	et
26	efficace
27	afin
28	de
29	mieux
30	les
31	anticiper
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ses	DET	2	det
2	axes	NOUN	6	nsubj
3	de	ADP	4	case
4	recherche	NOUN	2	nmod
5	actuels	ADJ	2	amod
6	portent	VERB	0	root
7	sur	ADP	9	case
8	les	DET	9	det
9	outils	NOUN	6	obl:mod
10	et	CCONJ	11	cc
11	méthodes	NOUN	9	conj
12	pour	ADP	13	mark
13	discerner	VERB	6	advcl
14	les	DET	16	det
15	grandes	ADJ	16	amod
16	ruptures	NOUN	13	obj
17	à	ADP	18	mark
18	venir	VERB	16	acl
19	d'	ADP	21	case
20	une	DET	21	det
21	façon	NOUN	13	obl:mod
22	simple	ADJ	21	amod
23	,	PUNCT	24	punct
24	participative	ADJ	22	conj
25	et	CCONJ	26	cc
26	efficace	ADJ	22	conj
27	afin	ADV	13	advmod
28	de	ADP	31	mark
29	mieux	ADV	31	advmod
30	les	PRON	31	obj
31	anticiper	VERB	27	ccomp:obj
32	.	PUNCT	6	punct