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:
Este es el nivel de paro más alto desde la segunda guerra mundial y los expertos prevén que siga aumentando en los próximos meses.
Postion	Tokenization
1	Este
2	es
3	el
4	nivel
5	de
6	paro
7	más
8	alto
9	desde
10	la
11	segunda
12	guerra
13	mundial
14	y
15	los
16	expertos
17	prevén
18	que
19	siga
20	aumentando
21	en
22	los
23	próximos
24	meses
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	PRON	4	nsubj
2	es	AUX	4	cop
3	el	DET	4	det
4	nivel	NOUN	0	root
5	de	ADP	6	case
6	paro	NOUN	4	nmod
7	más	ADV	8	advmod
8	alto	ADJ	4	amod
9	desde	ADP	12	case
10	la	DET	12	det
11	segunda	ADJ	12	amod
12	guerra	NOUN	8	nmod
13	mundial	ADJ	12	amod
14	y	CCONJ	17	cc
15	los	DET	16	det
16	expertos	NOUN	17	nsubj
17	prevén	VERB	4	conj
18	que	SCONJ	19	mark
19	siga	VERB	17	ccomp
20	aumentando	VERB	19	xcomp
21	en	ADP	24	case
22	los	DET	24	det
23	próximos	ADJ	24	amod
24	meses	NOUN	19	obl
25	.	PUNCT	4	punct