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 distribution d'eau du robinet de la ville de Chengdu avait dû être interrompue pendant plusieurs heures le 2 avril après le début de la pollution.
Postion	Tokenization
1	La
2	distribution
3	d'
4	eau
5	du
6	de
7	le
8	robinet
9	de
10	la
11	ville
12	de
13	Chengdu
14	avait
15	dû
16	être
17	interrompue
18	pendant
19	plusieurs
20	heures
21	le
22	2
23	avril
24	après
25	le
26	début
27	de
28	la
29	pollution
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	distribution	NOUN	14	nsubj
3	d'	ADP	4	case
4	eau	NOUN	2	nmod
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	robinet	NOUN	4	nmod
9	de	ADP	10	case
10	la	DET	10	det
11	ville	NOUN	2	nmod
12	de	ADP	12	case
13	Chengdu	PROPN	10	nmod
14	avait	AUX	14	aux:tense
15	dû	VERB	0	root
16	être	AUX	16	aux:pass
17	interrompue	VERB	14	xcomp:obj
18	pendant	ADP	19	case
19	plusieurs	DET	19	det
20	heures	NOUN	16	obl:mod
21	le	DET	21	det
22	2	NUM	16	obl:mod
23	avril	NOUN	21	nmod
24	après	ADP	25	case
25	le	DET	25	det
26	début	NOUN	16	obl:mod
27	de	ADP	28	case
28	la	DET	28	det
29	pollution	NOUN	25	nmod
30	.	PUNCT	14	punct