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:
Almería cuenta con unas 35.000 hectáreas hortofrutícolas y, tanto el concejal de Agricultura de El Ejido, José Viseras, como el director de la cooperativa Balanegra de Berja, Jesús Villalobos, critican que "las autoridades comunitarias decidieran bajar los residuos de metamidofos de un miligramo por kilo a 0,01 miligramos por kilo cuando la producción ya estaba en marcha".
Postion	Tokenization
1	Almería
2	cuenta
3	con
4	unas
5	35.000
6	hectáreas
7	hortofrutícolas
8	y
9	,
10	tanto
11	el
12	concejal
13	de
14	Agricultura
15	de
16	El
17	Ejido
18	,
19	José
20	Viseras
21	,
22	como
23	el
24	director
25	de
26	la
27	cooperativa
28	Balanegra
29	de
30	Berja
31	,
32	Jesús
33	Villalobos
34	,
35	critican
36	que
37	"
38	las
39	autoridades
40	comunitarias
41	decidieran
42	bajar
43	los
44	residuos
45	de
46	metamidofos
47	de
48	un
49	miligramo
50	por
51	kilo
52	a
53	0,01
54	miligramos
55	por
56	kilo
57	cuando
58	la
59	producción
60	ya
61	estaba
62	en
63	marcha
64	"
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Almería	PROPN	2	nsubj
2	cuenta	VERB	0	root
3	con	ADP	6	case
4	unas	PRON	5	nmod
5	35.000	NUM	6	nummod
6	hectáreas	NOUN	2	obj
7	hortofrutícolas	ADJ	6	amod
8	y	CCONJ	35	cc
9	,	PUNCT	12	punct
10	tanto	ADV	12	cc
11	el	DET	12	det
12	concejal	NOUN	35	nsubj
13	de	ADP	14	case
14	Agricultura	PROPN	12	nmod
15	de	ADP	17	case
16	El	DET	17	det
17	Ejido	PROPN	12	nmod
18	,	PUNCT	19	punct
19	José	PROPN	12	appos
20	Viseras	PROPN	19	flat
21	,	PUNCT	19	punct
22	como	SCONJ	24	cc
23	el	DET	24	det
24	director	NOUN	12	conj
25	de	ADP	27	case
26	la	DET	27	det
27	cooperativa	NOUN	24	nmod
28	Balanegra	PROPN	27	appos
29	de	ADP	30	case
30	Berja	PROPN	27	nmod
31	,	PUNCT	32	punct
32	Jesús	PROPN	24	appos
33	Villalobos	PROPN	32	flat
34	,	PUNCT	32	punct
35	critican	VERB	2	conj
36	que	SCONJ	41	mark
37	"	PUNCT	41	punct
38	las	DET	39	det
39	autoridades	NOUN	41	nsubj
40	comunitarias	ADJ	39	amod
41	decidieran	VERB	35	ccomp
42	bajar	VERB	41	xcomp
43	los	DET	44	det
44	residuos	NOUN	42	obj
45	de	ADP	46	case
46	metamidofos	NOUN	44	nmod
47	de	ADP	49	case
48	un	DET	49	det
49	miligramo	NOUN	42	obl
50	por	ADP	51	case
51	kilo	NOUN	49	nmod
52	a	ADP	54	case
53	0,01	NUM	54	nummod
54	miligramos	NOUN	42	obl
55	por	ADP	56	case
56	kilo	NOUN	54	nmod
57	cuando	SCONJ	63	mark
58	la	DET	59	det
59	producción	NOUN	63	nsubj
60	ya	ADV	63	advmod
61	estaba	AUX	63	cop
62	en	ADP	63	case
63	marcha	NOUN	41	advcl
64	"	PUNCT	41	punct
65	.	PUNCT	2	punct