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:
Considerables diferencias retributivas entre plantillas que hacen las mismas funciones, etcétera o que nos afectan a todos (revalorización digna de las pensiones mínimas).
Postion	Tokenization
1	Considerables
2	diferencias
3	retributivas
4	entre
5	plantillas
6	que
7	hacen
8	las
9	mismas
10	funciones
11	,
12	etcétera
13	o
14	que
15	nos
16	afectan
17	a
18	todos
19	(
20	revalorización
21	digna
22	de
23	las
24	pensiones
25	mínimas
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Considerables	ADJ	2	amod
2	diferencias	NOUN	0	root
3	retributivas	ADJ	2	amod
4	entre	ADP	5	case
5	plantillas	NOUN	2	nmod
6	que	PRON	7	nsubj
7	hacen	VERB	5	acl
8	las	DET	10	det
9	mismas	DET	8	det
10	funciones	NOUN	7	obj
11	,	PUNCT	16	punct
12	etcétera	PUNCT	16	punct
13	o	CCONJ	16	cc
14	que	PRON	16	nsubj
15	nos	PRON	16	obj
16	afectan	VERB	7	conj
17	a	ADP	18	case
18	todos	PRON	16	obj
19	(	PUNCT	20	punct
20	revalorización	NOUN	2	appos
21	digna	ADJ	20	amod
22	de	ADP	24	case
23	las	DET	24	det
24	pensiones	NOUN	20	nmod
25	mínimas	ADJ	24	amod
26	)	PUNCT	20	punct
27	.	PUNCT	2	punct