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:
Aunque el cupo de pesca de la merluza se limitó a 238.000 toneladas el año pasado, el Parlamento argentino debió sancionar en junio pasado una Ley de Emergencia Pesquera para frenar la sobreexplotación.
Postion	Tokenization
1	Aunque
2	el
3	cupo
4	de
5	pesca
6	de
7	la
8	merluza
9	se
10	limitó
11	a
12	238.000
13	toneladas
14	el
15	año
16	pasado
17	,
18	el
19	Parlamento
20	argentino
21	debió
22	sancionar
23	en
24	junio
25	pasado
26	una
27	Ley
28	de
29	Emergencia
30	Pesquera
31	para
32	frenar
33	la
34	sobreexplotación
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	10	mark
2	el	DET	3	det
3	cupo	NOUN	10	nsubj
4	de	ADP	5	case
5	pesca	NOUN	3	nmod
6	de	ADP	8	case
7	la	DET	8	det
8	merluza	NOUN	5	nmod
9	se	PRON	10	expl:pass
10	limitó	VERB	22	advcl
11	a	ADP	13	case
12	238.000	NUM	13	nummod
13	toneladas	NOUN	10	obl
14	el	DET	15	det
15	año	NOUN	10	obl
16	pasado	ADJ	15	amod
17	,	PUNCT	10	punct
18	el	DET	19	det
19	Parlamento	PROPN	22	nsubj
20	argentino	ADJ	19	amod
21	debió	AUX	22	aux
22	sancionar	VERB	0	root
23	en	ADP	24	case
24	junio	NOUN	22	obl
25	pasado	ADJ	24	amod
26	una	DET	27	det
27	Ley	PROPN	22	obj
28	de	ADP	29	case
29	Emergencia	PROPN	27	flat
30	Pesquera	PROPN	29	flat
31	para	ADP	32	mark
32	frenar	VERB	27	acl
33	la	DET	34	det
34	sobreexplotación	NOUN	32	obj
35	.	PUNCT	22	punct