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:
Ces policiers servent autant dans des zones difficiles d'accès, où le cheval est souvent le meilleur moyen de déplacement, que dans les zones urbaines pour le contrôle des foules.
Postion	Tokenization
1	Ces
2	policiers
3	servent
4	autant
5	dans
6	des
7	zones
8	difficiles
9	d'
10	accès
11	,
12	où
13	le
14	cheval
15	est
16	souvent
17	le
18	meilleur
19	moyen
20	de
21	déplacement
22	,
23	que
24	dans
25	les
26	zones
27	urbaines
28	pour
29	le
30	contrôle
31	des
32	de
33	les
34	foules
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Ces	DET	2	det
2	policiers	NOUN	3	nsubj
3	servent	VERB	0	root
4	autant	ADV	7	advmod
5	dans	ADP	7	case
6	des	DET	7	det
7	zones	NOUN	3	obl:arg
8	difficiles	ADJ	7	amod
9	d'	ADP	10	case
10	accès	NOUN	8	obl:arg
11	,	PUNCT	19	punct
12	où	ADV	19	advmod
13	le	DET	14	det
14	cheval	NOUN	19	nsubj
15	est	AUX	19	cop
16	souvent	ADV	19	advmod
17	le	DET	19	det
18	meilleur	ADJ	19	amod
19	moyen	NOUN	7	acl:relcl
20	de	ADP	21	case
21	déplacement	NOUN	19	nmod
22	,	PUNCT	19	punct
23	que	SCONJ	26	mark
24	dans	ADP	26	case
25	les	DET	26	det
26	zones	NOUN	4	ccomp:obj
27	urbaines	ADJ	26	amod
28	pour	ADP	30	case
29	le	DET	30	det
30	contrôle	NOUN	26	nmod
31	des	_	None	_
32	de	ADP	33	case
33	les	DET	33	det
34	foules	NOUN	30	nmod
35	.	PUNCT	3	punct