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:
Como consecuencia de la actual crisis económica, el índice de paro alcanzó en marzo el 4,8%, la cota más alta en el último medio siglo en el país, la segunda economía mundial.
Postion	Tokenization
1	Como
2	consecuencia
3	de
4	la
5	actual
6	crisis
7	económica
8	,
9	el
10	índice
11	de
12	paro
13	alcanzó
14	en
15	marzo
16	el
17	4,8%
18	,
19	la
20	cota
21	más
22	alta
23	en
24	el
25	último
26	medio
27	siglo
28	en
29	el
30	país
31	,
32	la
33	segunda
34	economía
35	mundial
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	2	mark
2	consecuencia	NOUN	13	obl
3	de	ADP	6	case
4	la	DET	6	det
5	actual	ADJ	6	amod
6	crisis	NOUN	2	nmod
7	económica	ADJ	6	amod
8	,	PUNCT	2	punct
9	el	DET	10	det
10	índice	NOUN	13	nsubj
11	de	ADP	12	case
12	paro	NOUN	10	nmod
13	alcanzó	VERB	0	root
14	en	ADP	15	case
15	marzo	NOUN	13	obl
16	el	DET	17	det
17	4,8%	SYM	13	obj
18	,	PUNCT	20	punct
19	la	DET	20	det
20	cota	NOUN	17	appos
21	más	ADV	22	advmod
22	alta	ADJ	20	amod
23	en	ADP	27	case
24	el	DET	27	det
25	último	ADJ	24	amod
26	medio	NUM	24	nummod
27	siglo	NOUN	20	nmod
28	en	ADP	30	case
29	el	DET	30	det
30	país	NOUN	20	nmod
31	,	PUNCT	34	punct
32	la	DET	34	det
33	segunda	ADJ	34	amod
34	economía	NOUN	30	appos
35	mundial	ADJ	34	amod
36	.	PUNCT	13	punct