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:
Lo peor de la pérdida de votos y de escaños de Izquierda Unida es que ahora los dirigentes han de afrontar una regulación de empleo como si fueran empresarios.
Postion	Tokenization
1	Lo
2	peor
3	de
4	la
5	pérdida
6	de
7	votos
8	y
9	de
10	escaños
11	de
12	Izquierda
13	Unida
14	es
15	que
16	ahora
17	los
18	dirigentes
19	han
20	de
21	afrontar
22	una
23	regulación
24	de
25	empleo
26	como
27	si
28	fueran
29	empresarios
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	2	det
2	peor	ADJ	14	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	pérdida	NOUN	2	nmod
6	de	ADP	7	case
7	votos	NOUN	5	nmod
8	y	CCONJ	10	cc
9	de	ADP	10	case
10	escaños	NOUN	7	conj
11	de	ADP	12	case
12	Izquierda	PROPN	5	nmod
13	Unida	PROPN	12	flat
14	es	AUX	0	root
15	que	SCONJ	21	mark
16	ahora	ADV	21	advmod
17	los	DET	18	det
18	dirigentes	NOUN	21	nsubj
19	han	AUX	21	aux
20	de	ADP	21	mark
21	afrontar	VERB	14	ccomp
22	una	DET	23	det
23	regulación	NOUN	21	obj
24	de	ADP	25	case
25	empleo	NOUN	23	nmod
26	como	SCONJ	29	mark
27	si	SCONJ	29	mark
28	fueran	AUX	29	cop
29	empresarios	NOUN	21	advcl
30	.	PUNCT	14	punct