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:
La municipalité a fait stopper les cloches des églises lors des enterrements en raison des effets négatifs qu'elles avaient sur le moral de la population.
Postion	Tokenization
1	La
2	municipalité
3	a
4	fait
5	stopper
6	les
7	cloches
8	des
9	de
10	les
11	églises
12	lors
13	des
14	de
15	les
16	enterrements
17	en
18	raison
19	des
20	de
21	les
22	effets
23	négatifs
24	qu'
25	elles
26	avaient
27	sur
28	le
29	moral
30	de
31	la
32	population
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	municipalité	NOUN	5	nsubj:caus
3	a	AUX	5	aux:tense
4	fait	AUX	5	aux:caus
5	stopper	VERB	0	root
6	les	DET	7	det
7	cloches	NOUN	5	obj
8	des	_	None	_
9	de	ADP	10	case
10	les	DET	10	det
11	églises	NOUN	7	nmod
12	lors	ADV	5	advmod
13	des	_	None	_
14	de	ADP	14	case
15	les	DET	14	det
16	enterrements	NOUN	11	obl:arg
17	en	ADP	5	advmod
18	raison	NOUN	15	fixed
19	des	_	None	_
20	de	ADP	19	case
21	les	DET	19	det
22	effets	NOUN	15	obl:arg
23	négatifs	ADJ	19	amod
24	qu'	PRON	23	obj
25	elles	PRON	23	nsubj
26	avaient	VERB	19	acl:relcl
27	sur	ADP	26	case
28	le	DET	26	det
29	moral	NOUN	23	obl:mod
30	de	ADP	29	case
31	la	DET	29	det
32	population	NOUN	26	nmod
33	.	PUNCT	5	punct