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:
En la zona euro, las perspectivas del crecimiento y de empleo a corto plazo son las mejores desde finales de los años 80.
Postion	Tokenization
1	En
2	la
3	zona
4	euro
5	,
6	las
7	perspectivas
8	del
9	crecimiento
10	y
11	de
12	empleo
13	a
14	corto
15	plazo
16	son
17	las
18	mejores
19	desde
20	finales
21	de
22	los
23	años
24	80
25	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	zona	NOUN	18	obl
4	euro	NOUN	3	nmod
5	,	PUNCT	3	punct
6	las	DET	7	det
7	perspectivas	NOUN	18	nsubj
8	del	ADP	9	case
9	crecimiento	NOUN	7	nmod
10	y	CCONJ	12	cc
11	de	ADP	12	case
12	empleo	NOUN	9	conj
13	a	ADP	7	advmod
14	corto	NOUN	13	fixed
15	plazo	NOUN	13	fixed
16	son	AUX	18	cop
17	las	DET	18	det
18	mejores	ADJ	0	root
19	desde	ADP	20	case
20	finales	NOUN	18	nmod
21	de	ADP	23	case
22	los	DET	23	det
23	años	NOUN	20	nmod
24	80	NUM	23	compound
25	.	PUNCT	18	punct