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:
Interrogé par le Parlement, le gouvernement indien a affirmé que les taux de fer et de fluoride dans les eaux souterraines du pays étaient anormalement élevés dans respectivement 254 et 224 districts.
Postion	Tokenization
1	Interrogé
2	par
3	le
4	Parlement
5	,
6	le
7	gouvernement
8	indien
9	a
10	affirmé
11	que
12	les
13	taux
14	de
15	fer
16	et
17	de
18	fluoride
19	dans
20	les
21	eaux
22	souterraines
23	du
24	de
25	le
26	pays
27	étaient
28	anormalement
29	élevés
30	dans
31	respectivement
32	254
33	et
34	224
35	districts
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Interrogé	VERB	10	advcl
2	par	ADP	4	case
3	le	DET	4	det
4	Parlement	NOUN	1	obl:agent
5	,	PUNCT	1	punct
6	le	DET	7	det
7	gouvernement	NOUN	10	nsubj
8	indien	ADJ	7	amod
9	a	AUX	10	aux:tense
10	affirmé	VERB	0	root
11	que	SCONJ	28	mark
12	les	DET	13	det
13	taux	NOUN	28	nsubj
14	de	ADP	15	case
15	fer	NOUN	13	nmod
16	et	CCONJ	18	cc
17	de	ADP	18	case
18	fluoride	NOUN	15	conj
19	dans	ADP	21	case
20	les	DET	21	det
21	eaux	NOUN	13	nmod
22	souterraines	ADJ	21	amod
23	du	_	None	_
24	de	ADP	25	case
25	le	DET	25	det
26	pays	NOUN	21	nmod
27	étaient	AUX	28	cop
28	anormalement	ADV	28	advmod
29	élevés	ADJ	10	ccomp:obj
30	dans	ADP	34	case
31	respectivement	ADV	31	advmod
32	254	NUM	34	nummod
33	et	CCONJ	33	cc
34	224	NUM	31	conj
35	districts	NOUN	28	obl:mod
36	.	PUNCT	10	punct