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:
Precisamente la estrategia de Bradley para minar a su rival fue esgrimir el espectro del actual presidente, cuestionando la honestidad de su delfín en temas como la reforma de la ley de financiación electoral y el aborto.
Postion	Tokenization
1	Precisamente
2	la
3	estrategia
4	de
5	Bradley
6	para
7	minar
8	a
9	su
10	rival
11	fue
12	esgrimir
13	el
14	espectro
15	del
16	actual
17	presidente
18	,
19	cuestionando
20	la
21	honestidad
22	de
23	su
24	delfín
25	en
26	temas
27	como
28	la
29	reforma
30	de
31	la
32	ley
33	de
34	financiación
35	electoral
36	y
37	el
38	aborto
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Precisamente	ADV	11	advmod
2	la	DET	3	det
3	estrategia	NOUN	11	nsubj
4	de	ADP	5	case
5	Bradley	PROPN	3	nmod
6	para	ADP	7	mark
7	minar	VERB	3	acl
8	a	ADP	10	case
9	su	DET	10	det
10	rival	NOUN	7	obj
11	fue	AUX	0	root
12	esgrimir	VERB	11	ccomp
13	el	DET	14	det
14	espectro	NOUN	12	obj
15	del	ADP	17	case
16	actual	ADJ	17	amod
17	presidente	NOUN	14	nmod
18	,	PUNCT	12	punct
19	cuestionando	VERB	12	xcomp
20	la	DET	21	det
21	honestidad	NOUN	19	obj
22	de	ADP	24	case
23	su	DET	24	det
24	delfín	NOUN	21	nmod
25	en	ADP	26	case
26	temas	NOUN	12	obl
27	como	SCONJ	29	mark
28	la	DET	29	det
29	reforma	NOUN	26	nmod
30	de	ADP	32	case
31	la	DET	32	det
32	ley	NOUN	29	nmod
33	de	ADP	34	case
34	financiación	NOUN	32	nmod
35	electoral	ADJ	34	amod
36	y	CCONJ	38	cc
37	el	DET	38	det
38	aborto	NOUN	29	conj
39	.	PUNCT	11	punct