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 escasez de la merluza comenzó a preocupar a las autoridades argentinas después de que en 1997 se registrara una captura de 584.048 toneladas de esa especie, que descendió a 458.433 en 1998.
Postion	Tokenization
1	La
2	escasez
3	de
4	la
5	merluza
6	comenzó
7	a
8	preocupar
9	a
10	las
11	autoridades
12	argentinas
13	después
14	de
15	que
16	en
17	1997
18	se
19	registrara
20	una
21	captura
22	de
23	584.048
24	toneladas
25	de
26	esa
27	especie
28	,
29	que
30	descendió
31	a
32	458.433
33	en
34	1998
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	escasez	NOUN	6	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	merluza	NOUN	2	nmod
6	comenzó	VERB	0	root
7	a	ADP	8	mark
8	preocupar	VERB	6	xcomp
9	a	ADP	11	case
10	las	DET	11	det
11	autoridades	NOUN	8	obj
12	argentinas	ADJ	11	amod
13	después	ADV	6	advmod
14	de	ADP	19	mark
15	que	SCONJ	19	mark
16	en	ADP	17	case
17	1997	NOUN	19	obl
18	se	PRON	19	expl:pass
19	registrara	VERB	13	advcl
20	una	DET	21	det
21	captura	NOUN	19	nsubj
22	de	ADP	24	case
23	584.048	NUM	24	nummod
24	toneladas	NOUN	21	nmod
25	de	ADP	27	case
26	esa	DET	27	det
27	especie	NOUN	24	nmod
28	,	PUNCT	30	punct
29	que	PRON	30	nsubj
30	descendió	VERB	21	acl
31	a	ADP	32	case
32	458.433	NUM	30	obl
33	en	ADP	34	case
34	1998	NOUN	30	obl
35	.	PUNCT	6	punct