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:
De nuevo, como en los anteriores debates de Boston (Massachusetts) y de Winston-Salem (Carolina del Norte), los planes de recorte de impuestos de Bush fueron criticados por Gore, que cuando señaló que esos planes benefician a los ricos, obtuvo la respuesta de "desde luego que sí", de parte del gobernador de Texas.
Postion	Tokenization
1	De
2	nuevo
3	,
4	como
5	en
6	los
7	anteriores
8	debates
9	de
10	Boston
11	(
12	Massachusetts
13	)
14	y
15	de
16	Winston-Salem
17	(
18	Carolina
19	del
20	Norte
21	)
22	,
23	los
24	planes
25	de
26	recorte
27	de
28	impuestos
29	de
30	Bush
31	fueron
32	criticados
33	por
34	Gore
35	,
36	que
37	cuando
38	señaló
39	que
40	esos
41	planes
42	benefician
43	a
44	los
45	ricos
46	,
47	obtuvo
48	la
49	respuesta
50	de
51	"
52	desde
53	luego
54	que
55	sí
56	"
57	,
58	de
59	parte
60	del
61	gobernador
62	de
63	Texas
64	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	32	advmod
2	nuevo	ADJ	1	fixed
3	,	PUNCT	8	punct
4	como	SCONJ	8	mark
5	en	ADP	8	case
6	los	DET	8	det
7	anteriores	ADJ	8	amod
8	debates	NOUN	32	obl
9	de	ADP	10	case
10	Boston	PROPN	8	nmod
11	(	PUNCT	12	punct
12	Massachusetts	PROPN	10	flat
13	)	PUNCT	12	punct
14	y	CCONJ	16	cc
15	de	ADP	16	case
16	Winston-Salem	PROPN	10	conj
17	(	PUNCT	18	punct
18	Carolina	PROPN	16	flat
19	del	ADP	20	case
20	Norte	PROPN	18	flat
21	)	PUNCT	18	punct
22	,	PUNCT	8	punct
23	los	DET	24	det
24	planes	NOUN	32	nsubj
25	de	ADP	26	case
26	recorte	NOUN	24	nmod
27	de	ADP	28	case
28	impuestos	NOUN	26	nmod
29	de	ADP	30	case
30	Bush	PROPN	24	nmod
31	fueron	AUX	32	aux
32	criticados	VERB	0	root
33	por	ADP	34	case
34	Gore	PROPN	32	obj
35	,	PUNCT	47	punct
36	que	PRON	47	nsubj
37	cuando	SCONJ	38	mark
38	señaló	VERB	47	advcl
39	que	SCONJ	42	mark
40	esos	DET	41	det
41	planes	NOUN	42	nsubj
42	benefician	VERB	38	ccomp
43	a	ADP	45	case
44	los	DET	45	det
45	ricos	NOUN	42	obj
46	,	PUNCT	38	punct
47	obtuvo	VERB	34	acl
48	la	DET	49	det
49	respuesta	NOUN	47	obj
50	de	ADP	49	nmod
51	"	PUNCT	52	punct
52	desde	NOUN	50	advmod
53	luego	ADV	52	fixed
54	que	SCONJ	52	mark
55	sí	INTJ	52	advcl
56	"	PUNCT	52	punct
57	,	PUNCT	61	punct
58	de	ADP	61	case
59	parte	NOUN	58	fixed
60	del	ADP	58	fixed
61	gobernador	NOUN	49	nmod
62	de	ADP	63	case
63	Texas	PROPN	61	nmod
64	.	PUNCT	32	punct