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:
El reconocimiento de España y Bélgica a la figura histórica de Carlos V presidió la visita que realizaron hoy los Reyes Juan Carlos y Sofía a Gante, la ciudad natal del Emperador.
Postion	Tokenization
1	El
2	reconocimiento
3	de
4	España
5	y
6	Bélgica
7	a
8	la
9	figura
10	histórica
11	de
12	Carlos
13	V
14	presidió
15	la
16	visita
17	que
18	realizaron
19	hoy
20	los
21	Reyes
22	Juan
23	Carlos
24	y
25	Sofía
26	a
27	Gante
28	,
29	la
30	ciudad
31	natal
32	del
33	Emperador
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	reconocimiento	NOUN	14	nsubj
3	de	ADP	4	case
4	España	PROPN	2	nmod
5	y	CCONJ	6	cc
6	Bélgica	PROPN	4	conj
7	a	ADP	9	case
8	la	DET	9	det
9	figura	NOUN	2	nmod
10	histórica	ADJ	9	amod
11	de	ADP	12	case
12	Carlos	PROPN	9	nmod
13	V	PROPN	12	flat
14	presidió	VERB	0	root
15	la	DET	16	det
16	visita	NOUN	14	obj
17	que	PRON	18	obj
18	realizaron	VERB	16	acl
19	hoy	ADV	18	advmod
20	los	DET	21	det
21	Reyes	PROPN	18	nsubj
22	Juan	PROPN	21	appos
23	Carlos	PROPN	22	flat
24	y	CCONJ	25	cc
25	Sofía	PROPN	22	conj
26	a	ADP	27	case
27	Gante	PROPN	16	nmod
28	,	PUNCT	30	punct
29	la	DET	30	det
30	ciudad	NOUN	27	appos
31	natal	ADJ	30	amod
32	del	ADP	33	case
33	Emperador	PROPN	30	nmod
34	.	PUNCT	14	punct