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:
Esa denostada uniformidad se daba ayer entre columnistas nada desafectos con el Gobierno a propósito de la ministra Pilar del Castillo.
Postion	Tokenization
1	Esa
2	denostada
3	uniformidad
4	se
5	daba
6	ayer
7	entre
8	columnistas
9	nada
10	desafectos
11	con
12	el
13	Gobierno
14	a
15	propósito
16	de
17	la
18	ministra
19	Pilar
20	del
21	Castillo
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Esa	DET	3	det
2	denostada	ADJ	3	amod
3	uniformidad	NOUN	5	nsubj
4	se	PRON	5	expl:pv
5	daba	VERB	0	root
6	ayer	ADV	5	advmod
7	entre	ADP	8	case
8	columnistas	NOUN	5	obl
9	nada	ADV	10	advmod
10	desafectos	ADJ	8	amod
11	con	ADP	13	case
12	el	DET	13	det
13	Gobierno	PROPN	10	nmod
14	a	ADP	18	case
15	propósito	NOUN	14	fixed
16	de	ADP	14	fixed
17	la	DET	18	det
18	ministra	NOUN	5	obl
19	Pilar	PROPN	18	appos
20	del	ADP	21	case
21	Castillo	PROPN	19	flat
22	.	PUNCT	5	punct