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 dificultad para la consecución de las firmas fue una de las razones fundamentales que llevaron a la fusión de todos los aspirantes a desbancar a Núñez en una sola lista.
Postion	Tokenization
1	Precisamente
2	,
3	la
4	dificultad
5	para
6	la
7	consecución
8	de
9	las
10	firmas
11	fue
12	una
13	de
14	las
15	razones
16	fundamentales
17	que
18	llevaron
19	a
20	la
21	fusión
22	de
23	todos
24	los
25	aspirantes
26	a
27	desbancar
28	a
29	Núñez
30	en
31	una
32	sola
33	lista
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Precisamente	ADV	12	advmod
2	,	PUNCT	1	punct
3	la	DET	4	det
4	dificultad	NOUN	12	nsubj
5	para	ADP	7	case
6	la	DET	7	det
7	consecución	NOUN	4	nmod
8	de	ADP	10	case
9	las	DET	10	det
10	firmas	NOUN	7	nmod
11	fue	AUX	12	cop
12	una	DET	0	root
13	de	ADP	15	case
14	las	DET	15	det
15	razones	NOUN	12	nmod
16	fundamentales	ADJ	15	amod
17	que	PRON	18	nsubj
18	llevaron	VERB	15	acl
19	a	ADP	21	case
20	la	DET	21	det
21	fusión	NOUN	18	obj
22	de	ADP	25	case
23	todos	DET	24	det
24	los	DET	25	det
25	aspirantes	NOUN	21	nmod
26	a	ADP	27	mark
27	desbancar	VERB	25	acl
28	a	ADP	29	case
29	Núñez	PROPN	27	obj
30	en	ADP	33	case
31	una	DET	33	det
32	sola	ADJ	33	amod
33	lista	NOUN	21	nmod
34	.	PUNCT	12	punct