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:
"Lo que pretende ETA es introducir el miedo para conseguir ese objetivo en este caso electoral de incrementar la abstención.
Postion	Tokenization
1	"
2	Lo
3	que
4	pretende
5	ETA
6	es
7	introducir
8	el
9	miedo
10	para
11	conseguir
12	ese
13	objetivo
14	en
15	este
16	caso
17	electoral
18	de
19	incrementar
20	la
21	abstención
22	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Lo	PRON	4	det
3	que	PRON	4	obj
4	pretende	VERB	6	csubj
5	ETA	PROPN	4	nsubj
6	es	AUX	0	root
7	introducir	VERB	6	ccomp
8	el	DET	9	det
9	miedo	NOUN	7	obj
10	para	ADP	11	mark
11	conseguir	VERB	7	advcl
12	ese	DET	13	det
13	objetivo	NOUN	11	obj
14	en	ADP	16	case
15	este	DET	16	det
16	caso	NOUN	13	nmod
17	electoral	ADJ	16	amod
18	de	ADP	19	mark
19	incrementar	VERB	13	acl
20	la	DET	21	det
21	abstención	NOUN	19	obj
22	.	PUNCT	6	punct