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:
Il effectue les installations dans les bâtiments neufs, les modifications, la mise aux normes, les dépannages ainsi que la dépose des vieilles installations.
Postion	Tokenization
1	Il
2	effectue
3	les
4	installations
5	dans
6	les
7	bâtiments
8	neufs
9	,
10	les
11	modifications
12	,
13	la
14	mise
15	aux
16	à
17	les
18	normes
19	,
20	les
21	dépannages
22	ainsi
23	que
24	la
25	dépose
26	des
27	de
28	les
29	vieilles
30	installations
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	effectue	VERB	0	root
3	les	DET	4	det
4	installations	NOUN	2	obj
5	dans	ADP	7	case
6	les	DET	7	det
7	bâtiments	NOUN	4	nmod
8	neufs	ADJ	7	amod
9	,	PUNCT	11	punct
10	les	DET	11	det
11	modifications	NOUN	4	conj
12	,	PUNCT	14	punct
13	la	DET	14	det
14	mise	NOUN	4	conj
15	aux	_	None	_
16	à	ADP	17	case
17	les	DET	17	det
18	normes	NOUN	14	nmod
19	,	PUNCT	20	punct
20	les	DET	20	det
21	dépannages	NOUN	4	conj
22	ainsi	ADV	24	cc
23	que	SCONJ	21	fixed
24	la	DET	24	det
25	dépose	NOUN	4	conj
26	des	_	None	_
27	de	ADP	28	case
28	les	DET	28	det
29	vieilles	ADJ	28	amod
30	installations	NOUN	24	nmod
31	.	PUNCT	2	punct