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:
Izquierda Unida de la Región de Murcia presentó hoy en conferencia de prensa a sus candidatos al Congreso y al Senado, entre los que se encuentran, además de Ríos en la lista a la Cámara Baja, el ex-diputado regional Cayetano Jaime Moltó, la concejala del Ayuntamiento de Totana Josefina Galvez y el profesor de Ecología de la Universidad de Murcia Miguel Angel Esteve, que figura como independiente.
Postion	Tokenization
1	Izquierda
2	Unida
3	de
4	la
5	Región
6	de
7	Murcia
8	presentó
9	hoy
10	en
11	conferencia
12	de
13	prensa
14	a
15	sus
16	candidatos
17	al
18	Congreso
19	y
20	al
21	Senado
22	,
23	entre
24	los
25	que
26	se
27	encuentran
28	,
29	además
30	de
31	Ríos
32	en
33	la
34	lista
35	a
36	la
37	Cámara
38	Baja
39	,
40	el
41	ex-diputado
42	regional
43	Cayetano
44	Jaime
45	Moltó
46	,
47	la
48	concejala
49	del
50	Ayuntamiento
51	de
52	Totana
53	Josefina
54	Galvez
55	y
56	el
57	profesor
58	de
59	Ecología
60	de
61	la
62	Universidad
63	de
64	Murcia
65	Miguel
66	Angel
67	Esteve
68	,
69	que
70	figura
71	como
72	independiente
73	.
Position	Tokenization	UPOS	Head	Deprel
1	Izquierda	PROPN	8	nsubj
2	Unida	PROPN	1	flat
3	de	ADP	5	case
4	la	DET	5	det
5	Región	PROPN	1	flat
6	de	ADP	7	case
7	Murcia	PROPN	1	flat
8	presentó	VERB	0	root
9	hoy	ADV	8	advmod
10	en	ADP	11	case
11	conferencia	NOUN	8	obl
12	de	ADP	13	case
13	prensa	NOUN	11	nmod
14	a	ADP	16	case
15	sus	DET	16	det
16	candidatos	NOUN	8	obj
17	al	ADP	18	case
18	Congreso	PROPN	16	nmod
19	y	CCONJ	21	cc
20	al	ADP	21	case
21	Senado	PROPN	18	conj
22	,	PUNCT	27	punct
23	entre	ADP	25	case
24	los	DET	25	det
25	que	PRON	27	obl
26	se	PRON	27	expl:pv
27	encuentran	VERB	16	acl
28	,	PUNCT	31	punct
29	además	ADV	31	case
30	de	ADP	29	fixed
31	Ríos	PROPN	27	obl
32	en	ADP	34	case
33	la	DET	34	det
34	lista	NOUN	27	obl
35	a	ADP	37	case
36	la	DET	37	det
37	Cámara	PROPN	34	nmod
38	Baja	PROPN	37	flat
39	,	PUNCT	34	punct
40	el	DET	41	det
41	ex-diputado	NOUN	27	nsubj
42	regional	ADJ	41	amod
43	Cayetano	PROPN	41	appos
44	Jaime	PROPN	43	flat
45	Moltó	PROPN	43	flat
46	,	PUNCT	48	punct
47	la	DET	48	det
48	concejala	NOUN	41	appos
49	del	ADP	50	case
50	Ayuntamiento	PROPN	48	nmod
51	de	ADP	52	case
52	Totana	PROPN	50	flat
53	Josefina	PROPN	48	appos
54	Galvez	PROPN	53	flat
55	y	CCONJ	57	cc
56	el	DET	57	det
57	profesor	NOUN	41	conj
58	de	ADP	59	case
59	Ecología	PROPN	57	nmod
60	de	ADP	62	case
61	la	DET	62	det
62	Universidad	PROPN	57	nmod
63	de	ADP	64	case
64	Murcia	PROPN	62	flat
65	Miguel	PROPN	57	appos
66	Angel	PROPN	65	flat
67	Esteve	PROPN	65	flat
68	,	PUNCT	70	punct
69	que	PRON	70	nsubj
70	figura	VERB	57	acl
71	como	SCONJ	72	mark
72	independiente	NOUN	70	obl
73	.	PUNCT	8	punct