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:
En 1998 se prejubilaron casi 4.000 trabajadores y otros 2.000 en Hunosa, y este año lo harán otros 1.031 mineros.
Postion	Tokenization
1	En
2	1998
3	se
4	prejubilaron
5	casi
6	4.000
7	trabajadores
8	y
9	otros
10	2.000
11	en
12	Hunosa
13	,
14	y
15	este
16	año
17	lo
18	harán
19	otros
20	1.031
21	mineros
22	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1998	NOUN	4	obl
3	se	PRON	4	obj
4	prejubilaron	VERB	0	root
5	casi	ADV	7	advmod
6	4.000	NUM	5	nummod
7	trabajadores	NOUN	4	nsubj
8	y	CCONJ	10	cc
9	otros	PRON	10	nmod
10	2.000	NUM	7	conj
11	en	ADP	12	case
12	Hunosa	PROPN	10	nmod
13	,	PUNCT	18	punct
14	y	CCONJ	18	cc
15	este	DET	16	det
16	año	NOUN	18	obl
17	lo	PRON	18	obj
18	harán	VERB	4	conj
19	otros	PRON	20	nmod
20	1.031	NUM	21	nummod
21	mineros	NOUN	18	nsubj
22	.	PUNCT	4	punct