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:
No será difícil, pues tenemos unos magníficos programas de ordenador que nos facilitarán el trabajo, y el que no, usará la calculadora de regalo de alguna entidad bancaria.
Postion	Tokenization
1	No
2	será
3	difícil
4	,
5	pues
6	tenemos
7	unos
8	magníficos
9	programas
10	de
11	ordenador
12	que
13	nos
14	facilitarán
15	el
16	trabajo
17	,
18	y
19	el
20	que
21	no
22	,
23	usará
24	la
25	calculadora
26	de
27	regalo
28	de
29	alguna
30	entidad
31	bancaria
32	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	3	advmod
2	será	AUX	3	cop
3	difícil	ADJ	0	root
4	,	PUNCT	6	punct
5	pues	SCONJ	6	mark
6	tenemos	VERB	3	advcl
7	unos	DET	9	det
8	magníficos	ADJ	9	amod
9	programas	NOUN	6	obj
10	de	ADP	11	case
11	ordenador	NOUN	9	nmod
12	que	PRON	14	nsubj
13	nos	PRON	14	iobj
14	facilitarán	VERB	9	acl
15	el	DET	16	det
16	trabajo	NOUN	14	obj
17	,	PUNCT	23	punct
18	y	CCONJ	23	cc
19	el	DET	20	det
20	que	PRON	23	nsubj
21	no	ADV	20	advmod
22	,	PUNCT	20	punct
23	usará	VERB	3	conj
24	la	DET	25	det
25	calculadora	NOUN	23	obj
26	de	ADP	27	case
27	regalo	NOUN	25	nmod
28	de	ADP	30	case
29	alguna	DET	30	det
30	entidad	NOUN	25	nmod
31	bancaria	ADJ	30	amod
32	.	PUNCT	3	punct