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:
Esta fuerte creación de empleos llevó la tasa de desempleo en los EEUU al 4 por ciento, el nivel más bajo desde enero de 1970, desde el 4,1 por ciento de diciembre.
Postion	Tokenization
1	Esta
2	fuerte
3	creación
4	de
5	empleos
6	llevó
7	la
8	tasa
9	de
10	desempleo
11	en
12	los
13	EEUU
14	al
15	4
16	por
17	ciento
18	,
19	el
20	nivel
21	más
22	bajo
23	desde
24	enero
25	de
26	1970
27	,
28	desde
29	el
30	4,1
31	por
32	ciento
33	de
34	diciembre
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	DET	3	det
2	fuerte	ADJ	3	amod
3	creación	NOUN	6	nsubj
4	de	ADP	5	case
5	empleos	NOUN	3	nmod
6	llevó	VERB	0	root
7	la	DET	8	det
8	tasa	NOUN	6	obj
9	de	ADP	10	case
10	desempleo	NOUN	8	nmod
11	en	ADP	13	case
12	los	DET	13	det
13	EEUU	PROPN	8	nmod
14	al	ADP	15	case
15	4	NUM	6	obj
16	por	ADP	17	case
17	ciento	NUM	15	compound
18	,	PUNCT	20	punct
19	el	DET	20	det
20	nivel	NOUN	15	appos
21	más	ADV	22	advmod
22	bajo	ADJ	20	amod
23	desde	ADP	24	case
24	enero	NOUN	20	nmod
25	de	ADP	26	case
26	1970	NUM	24	compound
27	,	PUNCT	30	punct
28	desde	ADP	30	case
29	el	DET	30	det
30	4,1	NUM	20	nummod
31	por	ADP	32	case
32	ciento	NUM	30	compound
33	de	ADP	34	case
34	diciembre	NOUN	30	nmod
35	.	PUNCT	6	punct