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:
Reiteró la importancia de la depuración del río Segura, "el más contaminado de Europa", y recordó que, aparte del plan actual de depuración, es necesario uno "más ambicioso" de regeneración de riberas y reforestación, y que el ministro de Medio Ambiente, Jaume Matas, ha hablado de este asunto con él y con el presidente de la Comunidad Valenciana, Eduardo Zaplana.
Postion	Tokenization
1	Reiteró
2	la
3	importancia
4	de
5	la
6	depuración
7	del
8	río
9	Segura
10	,
11	"
12	el
13	más
14	contaminado
15	de
16	Europa
17	"
18	,
19	y
20	recordó
21	que
22	,
23	aparte
24	del
25	plan
26	actual
27	de
28	depuración
29	,
30	es
31	necesario
32	uno
33	"
34	más
35	ambicioso
36	"
37	de
38	regeneración
39	de
40	riberas
41	y
42	reforestación
43	,
44	y
45	que
46	el
47	ministro
48	de
49	Medio
50	Ambiente
51	,
52	Jaume
53	Matas
54	,
55	ha
56	hablado
57	de
58	este
59	asunto
60	con
61	él
62	y
63	con
64	el
65	presidente
66	de
67	la
68	Comunidad
69	Valenciana
70	,
71	Eduardo
72	Zaplana
73	.
Position	Tokenization	UPOS	Head	Deprel
1	Reiteró	VERB	0	root
2	la	DET	3	det
3	importancia	NOUN	1	obj
4	de	ADP	6	case
5	la	DET	6	det
6	depuración	NOUN	3	nmod
7	del	ADP	8	case
8	río	NOUN	6	nmod
9	Segura	PROPN	8	appos
10	,	PUNCT	14	punct
11	"	PUNCT	14	punct
12	el	DET	14	det
13	más	ADV	14	advmod
14	contaminado	ADJ	8	appos
15	de	ADP	16	case
16	Europa	PROPN	14	obl
17	"	PUNCT	14	punct
18	,	PUNCT	3	punct
19	y	CCONJ	20	cc
20	recordó	VERB	1	conj
21	que	SCONJ	31	mark
22	,	PUNCT	25	punct
23	aparte	ADV	25	case
24	del	ADP	23	fixed
25	plan	NOUN	31	obl
26	actual	ADJ	25	amod
27	de	ADP	28	case
28	depuración	NOUN	25	nmod
29	,	PUNCT	25	punct
30	es	AUX	31	cop
31	necesario	ADJ	20	ccomp
32	uno	PRON	31	nsubj
33	"	PUNCT	35	punct
34	más	ADV	35	advmod
35	ambicioso	ADJ	32	amod
36	"	PUNCT	35	punct
37	de	ADP	38	case
38	regeneración	NOUN	32	nmod
39	de	ADP	40	case
40	riberas	NOUN	38	nmod
41	y	CCONJ	42	cc
42	reforestación	NOUN	40	conj
43	,	PUNCT	56	punct
44	y	CCONJ	56	cc
45	que	SCONJ	56	mark
46	el	DET	47	det
47	ministro	NOUN	56	nsubj
48	de	ADP	49	case
49	Medio	PROPN	47	nmod
50	Ambiente	PROPN	49	flat
51	,	PUNCT	52	punct
52	Jaume	PROPN	47	appos
53	Matas	PROPN	52	flat
54	,	PUNCT	52	punct
55	ha	AUX	56	aux
56	hablado	VERB	31	conj
57	de	ADP	59	case
58	este	DET	59	det
59	asunto	NOUN	56	obj
60	con	ADP	61	case
61	él	PRON	56	obl
62	y	CCONJ	65	cc
63	con	ADP	65	case
64	el	DET	65	det
65	presidente	NOUN	61	conj
66	de	ADP	68	case
67	la	DET	68	det
68	Comunidad	PROPN	65	nmod
69	Valenciana	PROPN	68	flat
70	,	PUNCT	71	punct
71	Eduardo	PROPN	65	appos
72	Zaplana	PROPN	71	flat
73	.	PUNCT	1	punct