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:
Entre las medidas adoptadas por su gobierno también destacó la reforma del polémico Código Orgánico Procesar Penal (COPP) en cuanto a la suficiencia de disponer de pruebas de un delito para detener a su autor, uno de los puntos más criticados por muchos estamentos de la sociedad por el incremento que ha habido de la delincuencia desde que entró en vigor esa ley, hace once meses.
Postion	Tokenization
1	Entre
2	las
3	medidas
4	adoptadas
5	por
6	su
7	gobierno
8	también
9	destacó
10	la
11	reforma
12	del
13	polémico
14	Código
15	Orgánico
16	Procesar
17	Penal
18	(
19	COPP
20	)
21	en
22	cuanto
23	a
24	la
25	suficiencia
26	de
27	disponer
28	de
29	pruebas
30	de
31	un
32	delito
33	para
34	detener
35	a
36	su
37	autor
38	,
39	uno
40	de
41	los
42	puntos
43	más
44	criticados
45	por
46	muchos
47	estamentos
48	de
49	la
50	sociedad
51	por
52	el
53	incremento
54	que
55	ha
56	habido
57	de
58	la
59	delincuencia
60	desde
61	que
62	entró
63	en
64	vigor
65	esa
66	ley
67	,
68	hace
69	once
70	meses
71	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	las	DET	3	det
3	medidas	NOUN	9	obl
4	adoptadas	ADJ	3	amod
5	por	ADP	7	case
6	su	DET	7	det
7	gobierno	NOUN	4	obj
8	también	ADV	9	advmod
9	destacó	VERB	0	root
10	la	DET	11	det
11	reforma	NOUN	9	obj
12	del	ADP	14	case
13	polémico	ADJ	14	amod
14	Código	PROPN	11	nmod
15	Orgánico	PROPN	14	flat
16	Procesar	PROPN	14	flat
17	Penal	PROPN	14	flat
18	(	PUNCT	19	punct
19	COPP	PROPN	14	flat
20	)	PUNCT	19	punct
21	en	ADP	25	case
22	cuanto	NOUN	21	fixed
23	a	ADP	21	fixed
24	la	DET	25	det
25	suficiencia	NOUN	11	nmod
26	de	ADP	27	mark
27	disponer	VERB	25	acl
28	de	ADP	29	case
29	pruebas	NOUN	27	obj
30	de	ADP	32	case
31	un	DET	32	det
32	delito	NOUN	29	nmod
33	para	ADP	34	mark
34	detener	VERB	27	advcl
35	a	ADP	37	case
36	su	DET	37	det
37	autor	NOUN	34	obj
38	,	PUNCT	39	punct
39	uno	PRON	11	appos
40	de	ADP	42	case
41	los	DET	42	det
42	puntos	NOUN	39	nmod
43	más	ADV	44	advmod
44	criticados	ADJ	42	amod
45	por	ADP	47	case
46	muchos	DET	47	det
47	estamentos	NOUN	44	obj
48	de	ADP	50	case
49	la	DET	50	det
50	sociedad	NOUN	47	nmod
51	por	ADP	53	case
52	el	DET	53	det
53	incremento	NOUN	44	obl
54	que	PRON	56	obj
55	ha	AUX	53	aux
56	habido	AUX	53	acl
57	de	ADP	59	case
58	la	DET	59	det
59	delincuencia	NOUN	56	obj
60	desde	ADP	62	mark
61	que	SCONJ	62	mark
62	entró	VERB	56	advcl
63	en	ADP	64	case
64	vigor	NOUN	62	obl
65	esa	DET	66	det
66	ley	NOUN	62	nsubj
67	,	PUNCT	68	punct
68	hace	VERB	62	advcl
69	once	NUM	70	nummod
70	meses	NOUN	68	obj
71	.	PUNCT	9	punct