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:
Approché par les grands clubs de la division nationale, il a préféré mener sa carrière dans sa ville natale et dans les clubs voisins.
Postion	Tokenization
1	Approché
2	par
3	les
4	grands
5	clubs
6	de
7	la
8	division
9	nationale
10	,
11	il
12	a
13	préféré
14	mener
15	sa
16	carrière
17	dans
18	sa
19	ville
20	natale
21	et
22	dans
23	les
24	clubs
25	voisins
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Approché	VERB	13	advcl
2	par	ADP	5	case
3	les	DET	5	det
4	grands	ADJ	5	amod
5	clubs	NOUN	1	obl:agent
6	de	ADP	8	case
7	la	DET	8	det
8	division	NOUN	5	nmod
9	nationale	ADJ	8	amod
10	,	PUNCT	1	punct
11	il	PRON	13	nsubj
12	a	AUX	13	aux:tense
13	préféré	VERB	0	root
14	mener	VERB	13	xcomp:obj
15	sa	DET	16	det
16	carrière	NOUN	14	obj
17	dans	ADP	19	case
18	sa	DET	19	det
19	ville	NOUN	14	obl:arg
20	natale	ADJ	19	amod
21	et	CCONJ	24	cc
22	dans	ADP	24	case
23	les	DET	24	det
24	clubs	NOUN	19	conj
25	voisins	ADJ	24	amod
26	.	PUNCT	13	punct