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:
Ante los ataques a una de las más destacadas figuras socialdemócratas y políticas del país, el partido de Arias, el PLN, amenazó con abandonar el Congreso y paralizar su actividad.
Postion	Tokenization
1	Ante
2	los
3	ataques
4	a
5	una
6	de
7	las
8	más
9	destacadas
10	figuras
11	socialdemócratas
12	y
13	políticas
14	del
15	país
16	,
17	el
18	partido
19	de
20	Arias
21	,
22	el
23	PLN
24	,
25	amenazó
26	con
27	abandonar
28	el
29	Congreso
30	y
31	paralizar
32	su
33	actividad
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Ante	ADP	3	case
2	los	DET	3	det
3	ataques	NOUN	25	obl
4	a	ADP	5	case
5	una	DET	3	det
6	de	ADP	5	case
7	las	DET	10	det
8	más	ADV	9	advmod
9	destacadas	ADJ	10	amod
10	figuras	NOUN	5	nmod
11	socialdemócratas	ADJ	10	amod
12	y	CCONJ	13	cc
13	políticas	ADJ	11	conj
14	del	ADP	15	case
15	país	NOUN	10	nmod
16	,	PUNCT	3	punct
17	el	DET	18	det
18	partido	NOUN	25	nsubj
19	de	ADP	20	case
20	Arias	PROPN	18	nmod
21	,	PUNCT	23	punct
22	el	DET	23	det
23	PLN	PROPN	18	appos
24	,	PUNCT	23	punct
25	amenazó	VERB	0	root
26	con	ADP	27	mark
27	abandonar	VERB	25	xcomp
28	el	DET	29	det
29	Congreso	PROPN	27	obj
30	y	CCONJ	31	cc
31	paralizar	VERB	27	conj
32	su	DET	33	det
33	actividad	NOUN	31	obj
34	.	PUNCT	25	punct