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:
La discusión sobre la reelección presidencial en Costa Rica, que desde diciembre pasado impulsa el ex gobernante y Nobel de la Paz Oscar Arias, ha agitado la vida política en este país centroamericano.
Postion	Tokenization
1	La
2	discusión
3	sobre
4	la
5	reelección
6	presidencial
7	en
8	Costa
9	Rica
10	,
11	que
12	desde
13	diciembre
14	pasado
15	impulsa
16	el
17	ex
18	gobernante
19	y
20	Nobel
21	de
22	la
23	Paz
24	Oscar
25	Arias
26	,
27	ha
28	agitado
29	la
30	vida
31	política
32	en
33	este
34	país
35	centroamericano
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	discusión	NOUN	28	nsubj
3	sobre	ADP	5	case
4	la	DET	5	det
5	reelección	NOUN	2	nmod
6	presidencial	ADJ	5	amod
7	en	ADP	8	case
8	Costa	PROPN	5	nmod
9	Rica	PROPN	8	flat
10	,	PUNCT	15	punct
11	que	PRON	15	obj
12	desde	ADP	13	case
13	diciembre	NOUN	15	obl
14	pasado	ADJ	13	amod
15	impulsa	VERB	5	acl
16	el	DET	18	det
17	ex	ADJ	18	amod
18	gobernante	NOUN	15	nsubj
19	y	CCONJ	20	cc
20	Nobel	PROPN	18	conj
21	de	ADP	23	case
22	la	DET	23	det
23	Paz	PROPN	20	flat
24	Oscar	PROPN	18	appos
25	Arias	PROPN	24	flat
26	,	PUNCT	15	punct
27	ha	AUX	28	aux
28	agitado	VERB	0	root
29	la	DET	30	det
30	vida	NOUN	28	obj
31	política	ADJ	30	amod
32	en	ADP	34	case
33	este	DET	34	det
34	país	NOUN	28	obl
35	centroamericano	ADJ	34	amod
36	.	PUNCT	28	punct