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:
Explicó que la consecución de este logro se debe a "la generosa donación del marqués de Lorenzana", y dijo que la restauración "piedra a piedra" y la remodelación del palacio ha sido una labor en la que la Junta extremeña, "con su presidente a la cabeza", ha invertido 61 millones de pesetas y ha provocado "desvelos, sinsabores y esperanzas".
Postion	Tokenization
1	Explicó
2	que
3	la
4	consecución
5	de
6	este
7	logro
8	se
9	debe
10	a
11	"
12	la
13	generosa
14	donación
15	del
16	marqués
17	de
18	Lorenzana
19	"
20	,
21	y
22	dijo
23	que
24	la
25	restauración
26	"
27	piedra
28	a
29	piedra
30	"
31	y
32	la
33	remodelación
34	del
35	palacio
36	ha
37	sido
38	una
39	labor
40	en
41	la
42	que
43	la
44	Junta
45	extremeña
46	,
47	"
48	con
49	su
50	presidente
51	a
52	la
53	cabeza
54	"
55	,
56	ha
57	invertido
58	61
59	millones
60	de
61	pesetas
62	y
63	ha
64	provocado
65	"
66	desvelos
67	,
68	sinsabores
69	y
70	esperanzas
71	"
72	.
Position	Tokenization	UPOS	Head	Deprel
1	Explicó	VERB	0	root
2	que	SCONJ	9	mark
3	la	DET	4	det
4	consecución	NOUN	9	nsubj:pass
5	de	ADP	7	case
6	este	DET	7	det
7	logro	NOUN	4	nmod
8	se	PRON	9	expl:pv
9	debe	VERB	1	ccomp
10	a	ADP	14	case
11	"	PUNCT	14	punct
12	la	DET	14	det
13	generosa	ADJ	14	amod
14	donación	NOUN	9	obj
15	del	ADP	16	case
16	marqués	NOUN	14	nmod
17	de	ADP	18	case
18	Lorenzana	PROPN	16	nmod
19	"	PUNCT	14	punct
20	,	PUNCT	22	punct
21	y	CCONJ	22	cc
22	dijo	VERB	1	conj
23	que	SCONJ	39	mark
24	la	DET	25	det
25	restauración	NOUN	39	nsubj
26	"	PUNCT	27	punct
27	piedra	NOUN	25	obl
28	a	ADP	29	case
29	piedra	NOUN	27	compound
30	"	PUNCT	27	punct
31	y	CCONJ	33	cc
32	la	DET	33	det
33	remodelación	NOUN	25	conj
34	del	ADP	35	case
35	palacio	NOUN	33	nmod
36	ha	AUX	39	aux
37	sido	AUX	39	cop
38	una	DET	39	det
39	labor	NOUN	22	ccomp
40	en	ADP	42	case
41	la	DET	42	det
42	que	PRON	57	obl
43	la	DET	44	det
44	Junta	PROPN	57	nsubj
45	extremeña	ADJ	44	amod
46	,	PUNCT	50	punct
47	"	PUNCT	50	punct
48	con	ADP	50	case
49	su	DET	50	det
50	presidente	NOUN	57	obl
51	a	ADP	50	advmod
52	la	DET	51	fixed
53	cabeza	NOUN	51	fixed
54	"	PUNCT	50	punct
55	,	PUNCT	50	punct
56	ha	AUX	57	aux
57	invertido	VERB	39	acl
58	61	NUM	59	nummod
59	millones	NOUN	57	obj
60	de	ADP	61	case
61	pesetas	NOUN	59	nmod
62	y	CCONJ	64	cc
63	ha	AUX	64	aux
64	provocado	VERB	57	conj
65	"	PUNCT	66	punct
66	desvelos	NOUN	64	obj
67	,	PUNCT	68	punct
68	sinsabores	NOUN	66	conj
69	y	CCONJ	70	cc
70	esperanzas	NOUN	66	conj
71	"	PUNCT	66	punct
72	.	PUNCT	1	punct