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 burgomaestre (alcalde) de Gante, Frank Becke, pronunció un discurso en la Sala de la Pacificación del espléndido palacio municipal, levantado en 1518 "como el mayor ayuntamiento del mundo" con ocasión de la mayoría de edad y la subida al trono de Carlos V.
Postion	Tokenization
1	El
2	burgomaestre
3	(
4	alcalde
5	)
6	de
7	Gante
8	,
9	Frank
10	Becke
11	,
12	pronunció
13	un
14	discurso
15	en
16	la
17	Sala
18	de
19	la
20	Pacificación
21	del
22	espléndido
23	palacio
24	municipal
25	,
26	levantado
27	en
28	1518
29	"
30	como
31	el
32	mayor
33	ayuntamiento
34	del
35	mundo
36	"
37	con
38	ocasión
39	de
40	la
41	mayoría
42	de
43	edad
44	y
45	la
46	subida
47	al
48	trono
49	de
50	Carlos
51	V
52	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	burgomaestre	NOUN	12	nsubj
3	(	PUNCT	4	punct
4	alcalde	NOUN	2	appos
5	)	PUNCT	4	punct
6	de	ADP	7	case
7	Gante	PROPN	2	nmod
8	,	PUNCT	9	punct
9	Frank	PROPN	2	appos
10	Becke	PROPN	9	flat
11	,	PUNCT	9	punct
12	pronunció	VERB	0	root
13	un	DET	14	det
14	discurso	NOUN	12	obj
15	en	ADP	17	case
16	la	DET	17	det
17	Sala	PROPN	12	obl
18	de	ADP	20	case
19	la	DET	20	det
20	Pacificación	PROPN	17	flat
21	del	ADP	23	case
22	espléndido	ADJ	23	amod
23	palacio	NOUN	17	nmod
24	municipal	ADJ	23	amod
25	,	PUNCT	26	punct
26	levantado	ADJ	23	amod
27	en	ADP	28	case
28	1518	NUM	26	obl
29	"	PUNCT	33	punct
30	como	SCONJ	33	mark
31	el	DET	33	det
32	mayor	ADJ	33	amod
33	ayuntamiento	NOUN	26	obj
34	del	ADP	35	case
35	mundo	NOUN	33	nmod
36	"	PUNCT	33	punct
37	con	ADP	41	case
38	ocasión	NOUN	37	fixed
39	de	ADP	37	fixed
40	la	DET	41	det
41	mayoría	NOUN	26	obl
42	de	ADP	43	case
43	edad	NOUN	41	nmod
44	y	CCONJ	46	cc
45	la	DET	46	det
46	subida	NOUN	41	conj
47	al	ADP	48	case
48	trono	NOUN	46	nmod
49	de	ADP	50	case
50	Carlos	PROPN	41	nmod
51	V	PROPN	50	flat
52	.	PUNCT	12	punct