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:
Ya se lo tengo dicho al Mendicutti: de un momento a otro, el señor Rodríguez Ibarra, con lo suyo que es para el catalán, saldrá diciendo que él tiene desde hace siglos el Teatro de Mérida hecho una ruina (sic), sin techo ni nada, y que ya va siendo hora de arreglarlo un poco.
Postion	Tokenization
1	Ya
2	se
3	lo
4	tengo
5	dicho
6	al
7	Mendicutti
8	:
9	de
10	un
11	momento
12	a
13	otro
14	,
15	el
16	señor
17	Rodríguez
18	Ibarra
19	,
20	con
21	lo
22	suyo
23	que
24	es
25	para
26	el
27	catalán
28	,
29	saldrá
30	diciendo
31	que
32	él
33	tiene
34	desde
35	hace
36	siglos
37	el
38	Teatro
39	de
40	Mérida
41	hecho
42	una
43	ruina
44	(
45	sic
46	)
47	,
48	sin
49	techo
50	ni
51	nada
52	,
53	y
54	que
55	ya
56	va
57	siendo
58	hora
59	de
60	arreglarlo
61	arreglar
62	lo
63	un
64	poco
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Ya	ADV	5	advmod
2	se	PRON	5	iobj
3	lo	PRON	5	obj
4	tengo	AUX	5	aux
5	dicho	VERB	0	root
6	al	ADP	7	case
7	Mendicutti	PROPN	5	iobj
8	:	PUNCT	29	punct
9	de	ADP	29	advmod
10	un	DET	9	fixed
11	momento	NOUN	9	fixed
12	a	ADP	9	fixed
13	otro	ADJ	9	fixed
14	,	PUNCT	9	punct
15	el	DET	16	det
16	señor	NOUN	29	nsubj
17	Rodríguez	PROPN	16	appos
18	Ibarra	PROPN	17	flat
19	,	PUNCT	21	punct
20	con	ADP	21	case
21	lo	PRON	29	obl
22	suyo	DET	21	compound
23	que	PRON	21	acl
24	es	AUX	23	cop
25	para	ADP	27	case
26	el	DET	27	det
27	catalán	NOUN	23	obl
28	,	PUNCT	21	punct
29	saldrá	VERB	5	ccomp
30	diciendo	VERB	29	advcl
31	que	SCONJ	33	mark
32	él	PRON	33	nsubj
33	tiene	VERB	30	ccomp
34	desde	ADP	35	mark
35	hace	VERB	33	advcl
36	siglos	NOUN	35	obj
37	el	DET	38	det
38	Teatro	PROPN	33	obj
39	de	ADP	40	case
40	Mérida	PROPN	38	flat
41	hecho	ADJ	43	amod
42	una	DET	43	det
43	ruina	NOUN	38	appos
44	(	PUNCT	45	punct
45	sic	ADV	43	advmod
46	)	PUNCT	45	punct
47	,	PUNCT	43	punct
48	sin	ADP	49	case
49	techo	NOUN	43	nmod
50	ni	CCONJ	51	cc
51	nada	PRON	49	conj
52	,	PUNCT	58	punct
53	y	CCONJ	58	cc
54	que	SCONJ	58	mark
55	ya	ADV	58	advmod
56	va	AUX	58	aux
57	siendo	AUX	58	cop
58	hora	NOUN	33	conj
59	de	ADP	60	mark
60	arreglarlo	_	None	_
61	arreglar	VERB	58	acl
62	lo	PRON	60	obj
63	un	DET	63	det
64	poco	PRON	60	obl
65	.	PUNCT	5	punct