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:
Las cifras mostraron un aumento de 387.000 empleos, más de lo que esperaban los analistas y la mayor tasa de aumento de la fuerza laboral estadounidense en más de dos años.
Postion	Tokenization
1	Las
2	cifras
3	mostraron
4	un
5	aumento
6	de
7	387.000
8	empleos
9	,
10	más
11	de
12	lo
13	que
14	esperaban
15	los
16	analistas
17	y
18	la
19	mayor
20	tasa
21	de
22	aumento
23	de
24	la
25	fuerza
26	laboral
27	estadounidense
28	en
29	más
30	de
31	dos
32	años
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	cifras	NOUN	3	nsubj
3	mostraron	VERB	0	root
4	un	DET	5	det
5	aumento	NOUN	3	obj
6	de	ADP	8	case
7	387.000	NUM	8	nummod
8	empleos	NOUN	5	nmod
9	,	PUNCT	10	punct
10	más	ADV	8	appos
11	de	ADP	14	mark
12	lo	PRON	14	det
13	que	PRON	14	obj
14	esperaban	VERB	10	advcl
15	los	DET	16	det
16	analistas	NOUN	14	nsubj
17	y	CCONJ	20	cc
18	la	DET	20	det
19	mayor	ADJ	20	amod
20	tasa	NOUN	10	conj
21	de	ADP	22	case
22	aumento	NOUN	20	nmod
23	de	ADP	25	case
24	la	DET	25	det
25	fuerza	NOUN	22	nmod
26	laboral	ADJ	25	amod
27	estadounidense	ADJ	25	amod
28	en	ADP	32	case
29	más	ADV	31	advmod
30	de	ADP	31	case
31	dos	NUM	32	nummod
32	años	NOUN	20	nmod
33	.	PUNCT	3	punct