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:
Services publics présents sur la commune : mairie, école maternelle et primaire regroupant les enfants de la commune et de celle de Saint-Quentin-lès-Beaurepaire, poste.
Postion	Tokenization
1	Services
2	publics
3	présents
4	sur
5	la
6	commune
7	:
8	mairie
9	,
10	école
11	maternelle
12	et
13	primaire
14	regroupant
15	les
16	enfants
17	de
18	la
19	commune
20	et
21	de
22	celle
23	de
24	Saint-Quentin-lès-Beaurepaire
25	,
26	poste
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Services	NOUN	0	root
2	publics	ADJ	1	amod
3	présents	ADJ	1	amod
4	sur	ADP	6	case
5	la	DET	6	det
6	commune	NOUN	3	obl:mod
7	:	PUNCT	8	punct
8	mairie	NOUN	1	appos
9	,	PUNCT	10	punct
10	école	NOUN	8	conj
11	maternelle	ADJ	10	amod
12	et	CCONJ	13	cc
13	primaire	ADJ	11	conj
14	regroupant	VERB	10	acl
15	les	DET	16	det
16	enfants	NOUN	14	obj
17	de	ADP	19	case
18	la	DET	19	det
19	commune	NOUN	16	nmod
20	et	CCONJ	22	cc
21	de	ADP	22	case
22	celle	PRON	19	conj
23	de	ADP	24	case
24	Saint-Quentin-lès-Beaurepaire	PROPN	22	nmod
25	,	PUNCT	26	punct
26	poste	NOUN	8	conj
27	.	PUNCT	1	punct