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:
Par ailleurs, le SPVM soutient qu'aux emplacements où un nombre plus important de vols de ces équipements a été noté, il y aura une présence policière accrue.
Postion	Tokenization
1	Par
2	ailleurs
3	,
4	le
5	SPVM
6	soutient
7	qu'
8	aux
9	à
10	les
11	emplacements
12	où
13	un
14	nombre
15	plus
16	important
17	de
18	vols
19	de
20	ces
21	équipements
22	a
23	été
24	noté
25	,
26	il
27	y
28	aura
29	une
30	présence
31	policière
32	accrue
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Par	ADP	6	advmod
2	ailleurs	ADV	1	fixed
3	,	PUNCT	1	punct
4	le	DET	5	det
5	SPVM	X	6	nsubj
6	soutient	VERB	0	root
7	qu'	SCONJ	27	mark
8	aux	_	None	_
9	à	ADP	10	case
10	les	DET	10	det
11	emplacements	NOUN	27	obl:mod
12	où	ADV	23	advmod
13	un	DET	13	det
14	nombre	NOUN	23	nsubj:pass
15	plus	ADV	15	advmod
16	important	ADJ	13	amod
17	de	ADP	17	case
18	vols	NOUN	13	nmod
19	de	ADP	20	case
20	ces	DET	20	det
21	équipements	NOUN	17	nmod
22	a	AUX	23	aux:tense
23	été	AUX	23	aux:pass
24	noté	VERB	10	acl:relcl
25	,	PUNCT	10	punct
26	il	PRON	27	expl:subj
27	y	PRON	27	dep:comp
28	aura	VERB	6	ccomp:obj
29	une	DET	29	det
30	présence	NOUN	27	obj
31	policière	ADJ	29	amod
32	accrue	VERB	29	acl
33	.	PUNCT	6	punct