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:
La reducción de plantilla en los últimos dos años en estos cuatro bancos ha sido de alrededor de 8.000 funcionarios, pero siguen teniendo un poco menos de 50.000 empleados.
Postion	Tokenization
1	La
2	reducción
3	de
4	plantilla
5	en
6	los
7	últimos
8	dos
9	años
10	en
11	estos
12	cuatro
13	bancos
14	ha
15	sido
16	de
17	alrededor
18	de
19	8.000
20	funcionarios
21	,
22	pero
23	siguen
24	teniendo
25	un
26	poco
27	menos
28	de
29	50.000
30	empleados
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	reducción	NOUN	20	nsubj
3	de	ADP	4	case
4	plantilla	NOUN	2	nmod
5	en	ADP	9	case
6	los	DET	9	det
7	últimos	ADJ	6	amod
8	dos	NUM	6	nummod
9	años	NOUN	2	nmod
10	en	ADP	13	case
11	estos	DET	13	det
12	cuatro	NUM	11	nummod
13	bancos	NOUN	2	nmod
14	ha	AUX	20	aux
15	sido	AUX	20	cop
16	de	ADP	20	case
17	alrededor	ADV	20	case
18	de	ADP	17	fixed
19	8.000	NUM	20	nummod
20	funcionarios	NOUN	0	root
21	,	PUNCT	23	punct
22	pero	CCONJ	23	cc
23	siguen	VERB	20	conj
24	teniendo	VERB	23	xcomp
25	un	DET	30	advmod
26	poco	ADV	25	fixed
27	menos	ADV	25	fixed
28	de	ADP	25	fixed
29	50.000	NUM	30	nummod
30	empleados	NOUN	24	obj
31	.	PUNCT	20	punct