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 su discurso, que estuvo precedido del estacionamiento de tropas en los puentes de acceso a la capital, Mejía señaló que, en adelante, deberán pagar impuestos los servicios de igualas "de cualquier naturaleza", el entretenimiento y el correo.
Postion	Tokenization
1	En
2	su
3	discurso
4	,
5	que
6	estuvo
7	precedido
8	del
9	estacionamiento
10	de
11	tropas
12	en
13	los
14	puentes
15	de
16	acceso
17	a
18	la
19	capital
20	,
21	Mejía
22	señaló
23	que
24	,
25	en
26	adelante
27	,
28	deberán
29	pagar
30	impuestos
31	los
32	servicios
33	de
34	igualas
35	"
36	de
37	cualquier
38	naturaleza
39	"
40	,
41	el
42	entretenimiento
43	y
44	el
45	correo
46	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	discurso	NOUN	22	obl
4	,	PUNCT	7	punct
5	que	PRON	7	nsubj
6	estuvo	AUX	7	cop
7	precedido	ADJ	3	acl
8	del	ADP	9	case
9	estacionamiento	NOUN	7	obl
10	de	ADP	11	case
11	tropas	NOUN	9	nmod
12	en	ADP	14	case
13	los	DET	14	det
14	puentes	NOUN	9	nmod
15	de	ADP	16	case
16	acceso	NOUN	14	nmod
17	a	ADP	19	case
18	la	DET	19	det
19	capital	NOUN	16	nmod
20	,	PUNCT	7	punct
21	Mejía	PROPN	22	nsubj
22	señaló	VERB	0	root
23	que	SCONJ	29	mark
24	,	PUNCT	26	punct
25	en	ADP	26	case
26	adelante	ADV	29	advmod
27	,	PUNCT	26	punct
28	deberán	AUX	29	aux
29	pagar	VERB	22	ccomp
30	impuestos	NOUN	29	obj
31	los	DET	32	det
32	servicios	NOUN	29	nsubj
33	de	ADP	34	case
34	igualas	NOUN	32	nmod
35	"	PUNCT	38	punct
36	de	ADP	38	case
37	cualquier	DET	38	det
38	naturaleza	NOUN	34	nmod
39	"	PUNCT	38	punct
40	,	PUNCT	42	punct
41	el	DET	42	det
42	entretenimiento	NOUN	32	appos
43	y	CCONJ	45	cc
44	el	DET	45	det
45	correo	NOUN	32	conj
46	.	PUNCT	22	punct