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 este sentido, también quiso subrayar la acción del Rey "como motor e impulsor" y destacó su "extraordinario prestigio" en todo el mundo.
Postion	Tokenization
1	En
2	este
3	sentido
4	,
5	también
6	quiso
7	subrayar
8	la
9	acción
10	del
11	Rey
12	"
13	como
14	motor
15	e
16	impulsor
17	"
18	y
19	destacó
20	su
21	"
22	extraordinario
23	prestigio
24	"
25	en
26	todo
27	el
28	mundo
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	sentido	NOUN	6	obl
4	,	PUNCT	3	punct
5	también	ADV	6	advmod
6	quiso	VERB	0	root
7	subrayar	VERB	6	ccomp
8	la	DET	9	det
9	acción	NOUN	7	obj
10	del	ADP	11	case
11	Rey	PROPN	9	nmod
12	"	PUNCT	14	punct
13	como	SCONJ	14	mark
14	motor	NOUN	9	nmod
15	e	CCONJ	16	cc
16	impulsor	NOUN	14	conj
17	"	PUNCT	14	punct
18	y	CCONJ	19	cc
19	destacó	VERB	6	conj
20	su	DET	23	det
21	"	PUNCT	23	punct
22	extraordinario	ADJ	23	amod
23	prestigio	NOUN	19	obj
24	"	PUNCT	23	punct
25	en	ADP	28	case
26	todo	DET	27	det
27	el	DET	28	det
28	mundo	NOUN	23	nmod
29	.	PUNCT	6	punct