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:
En général, des processus et des techniques sont disponibles pour identifier et mesurer les habilités et les traits requis dans la sélection et le placement du personnel.
Postion	Tokenization
1	En
2	général
3	,
4	des
5	processus
6	et
7	des
8	techniques
9	sont
10	disponibles
11	pour
12	identifier
13	et
14	mesurer
15	les
16	habilités
17	et
18	les
19	traits
20	requis
21	dans
22	la
23	sélection
24	et
25	le
26	placement
27	du
28	de
29	le
30	personnel
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	10	advmod
2	général	NOUN	1	fixed
3	,	PUNCT	1	punct
4	des	DET	5	det
5	processus	NOUN	10	nsubj
6	et	CCONJ	8	cc
7	des	DET	8	det
8	techniques	NOUN	5	conj
9	sont	AUX	10	cop
10	disponibles	ADJ	0	root
11	pour	ADP	12	mark
12	identifier	VERB	10	advcl
13	et	CCONJ	14	cc
14	mesurer	VERB	12	conj
15	les	DET	16	det
16	habilités	NOUN	14	obj
17	et	CCONJ	19	cc
18	les	DET	19	det
19	traits	NOUN	16	conj
20	requis	VERB	19	acl
21	dans	ADP	23	case
22	la	DET	23	det
23	sélection	NOUN	20	obl:mod
24	et	CCONJ	26	cc
25	le	DET	26	det
26	placement	NOUN	23	conj
27	du	_	None	_
28	de	ADP	29	case
29	le	DET	29	det
30	personnel	NOUN	26	nmod
31	.	PUNCT	10	punct