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:
Los sindicatos también reclamarán a los empresarios un mayor esfuerzo en la creación de empleo después de que 1998 ha sido un año de grandes beneficios.
Postion	Tokenization
1	Los
2	sindicatos
3	también
4	reclamarán
5	a
6	los
7	empresarios
8	un
9	mayor
10	esfuerzo
11	en
12	la
13	creación
14	de
15	empleo
16	después
17	de
18	que
19	1998
20	ha
21	sido
22	un
23	año
24	de
25	grandes
26	beneficios
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	sindicatos	NOUN	4	nsubj
3	también	ADV	4	advmod
4	reclamarán	VERB	0	root
5	a	ADP	7	case
6	los	DET	7	det
7	empresarios	NOUN	4	obj
8	un	DET	10	det
9	mayor	ADJ	10	amod
10	esfuerzo	NOUN	4	obj
11	en	ADP	13	case
12	la	DET	13	det
13	creación	NOUN	10	nmod
14	de	ADP	15	case
15	empleo	NOUN	13	nmod
16	después	ADV	4	advmod
17	de	ADP	23	mark
18	que	SCONJ	23	mark
19	1998	NOUN	23	nsubj
20	ha	AUX	23	aux
21	sido	AUX	23	cop
22	un	DET	23	det
23	año	NOUN	16	advcl
24	de	ADP	26	case
25	grandes	ADJ	26	amod
26	beneficios	NOUN	23	nmod
27	.	PUNCT	4	punct