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:
Según el diario The New York Times, los republicanos saben que los próximos dos años serán muy duros en Florida, pues los demócratas saben que Jeb Bush está debilitado y que el partidismo electoral le ha hecho perder apoyo.
Postion	Tokenization
1	Según
2	el
3	diario
4	The
5	New
6	York
7	Times
8	,
9	los
10	republicanos
11	saben
12	que
13	los
14	próximos
15	dos
16	años
17	serán
18	muy
19	duros
20	en
21	Florida
22	,
23	pues
24	los
25	demócratas
26	saben
27	que
28	Jeb
29	Bush
30	está
31	debilitado
32	y
33	que
34	el
35	partidismo
36	electoral
37	le
38	ha
39	hecho
40	perder
41	apoyo
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	diario	NOUN	11	obl
4	The	PROPN	3	appos
5	New	PROPN	4	flat
6	York	PROPN	4	flat
7	Times	PROPN	4	flat
8	,	PUNCT	3	punct
9	los	DET	10	det
10	republicanos	NOUN	11	nsubj
11	saben	VERB	0	root
12	que	SCONJ	19	mark
13	los	DET	14	det
14	próximos	NOUN	16	nmod
15	dos	NUM	14	nummod
16	años	NOUN	19	nsubj
17	serán	AUX	19	cop
18	muy	ADV	19	advmod
19	duros	ADJ	11	ccomp
20	en	ADP	21	case
21	Florida	PROPN	19	obl
22	,	PUNCT	26	punct
23	pues	SCONJ	26	mark
24	los	DET	25	det
25	demócratas	NOUN	26	nsubj
26	saben	VERB	19	advcl
27	que	SCONJ	31	mark
28	Jeb	PROPN	31	nsubj
29	Bush	PROPN	28	flat
30	está	AUX	31	cop
31	debilitado	ADJ	26	ccomp
32	y	CCONJ	39	cc
33	que	SCONJ	39	mark
34	el	DET	35	det
35	partidismo	NOUN	39	nsubj
36	electoral	ADJ	35	amod
37	le	PRON	39	obj
38	ha	AUX	39	aux
39	hecho	VERB	31	conj
40	perder	VERB	39	xcomp
41	apoyo	NOUN	39	obj
42	.	PUNCT	11	punct