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:
pour mettre aux normes l'installation électrique de mon appart, j'ai fait appel à eux car les avis semblaient bons.
Postion	Tokenization
1	pour
2	mettre
3	aux
4	à
5	les
6	normes
7	l'
8	installation
9	électrique
10	de
11	mon
12	appart
13	,
14	j'
15	ai
16	fait
17	appel
18	à
19	eux
20	car
21	les
22	avis
23	semblaient
24	bons
25	.
Position	Tokenization	UPOS	Head	Deprel
1	pour	ADP	2	mark
2	mettre	VERB	15	advcl
3	aux	_	None	_
4	à	ADP	5	case
5	les	DET	5	det
6	normes	NOUN	2	obl:arg
7	l'	DET	7	det
8	installation	NOUN	2	obj
9	électrique	ADJ	7	amod
10	de	ADP	11	case
11	mon	DET	11	det
12	appart	NOUN	7	nmod
13	,	PUNCT	2	punct
14	j'	PRON	15	nsubj
15	ai	AUX	15	aux:tense
16	fait	VERB	0	root
17	appel	NOUN	15	obj:lvc
18	à	ADP	18	case
19	eux	PRON	16	dep:comp
20	car	CCONJ	22	cc
21	les	DET	21	det
22	avis	NOUN	22	nsubj
23	semblaient	VERB	15	conj
24	bons	ADJ	22	xcomp:pred
25	.	PUNCT	15	punct