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:
Frente a esta ingente suma, los 2.560 millones de pesetas que ha logrado reunir McCain para pagar los enormes gastos de una campaña electoral auguran una lucha muy desigual.
Postion	Tokenization
1	Frente
2	a
3	esta
4	ingente
5	suma
6	,
7	los
8	2.560
9	millones
10	de
11	pesetas
12	que
13	ha
14	logrado
15	reunir
16	McCain
17	para
18	pagar
19	los
20	enormes
21	gastos
22	de
23	una
24	campaña
25	electoral
26	auguran
27	una
28	lucha
29	muy
30	desigual
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Frente	ADV	26	advmod
2	a	ADP	5	case
3	esta	DET	5	det
4	ingente	ADJ	5	amod
5	suma	NOUN	1	obl
6	,	PUNCT	1	punct
7	los	DET	8	det
8	2.560	NUM	9	nummod
9	millones	NOUN	26	nsubj
10	de	ADP	11	case
11	pesetas	NOUN	9	nmod
12	que	PRON	14	iobj
13	ha	AUX	14	aux
14	logrado	VERB	9	acl
15	reunir	VERB	14	xcomp
16	McCain	PROPN	14	nsubj
17	para	ADP	18	mark
18	pagar	VERB	14	advcl
19	los	DET	21	det
20	enormes	ADJ	21	amod
21	gastos	NOUN	18	obj
22	de	ADP	24	case
23	una	DET	24	det
24	campaña	NOUN	21	nmod
25	electoral	ADJ	24	amod
26	auguran	VERB	0	root
27	una	DET	28	det
28	lucha	NOUN	26	obj
29	muy	ADV	30	advmod
30	desigual	ADJ	28	amod
31	.	PUNCT	26	punct