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 senador designado Fernando Cordero, ex jefe de la Policía militarizada de Carabineros, dijo que "sentimos que estamos siendo utilizados como moneda de cambio" y denunció "el maltrato que sufrimos cada vez que se plantea el tema de las reformas".
Postion	Tokenization
1	El
2	senador
3	designado
4	Fernando
5	Cordero
6	,
7	ex
8	jefe
9	de
10	la
11	Policía
12	militarizada
13	de
14	Carabineros
15	,
16	dijo
17	que
18	"
19	sentimos
20	que
21	estamos
22	siendo
23	utilizados
24	como
25	moneda
26	de
27	cambio
28	"
29	y
30	denunció
31	"
32	el
33	maltrato
34	que
35	sufrimos
36	cada
37	vez
38	que
39	se
40	plantea
41	el
42	tema
43	de
44	las
45	reformas
46	"
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	senador	NOUN	16	nsubj
3	designado	ADJ	2	amod
4	Fernando	PROPN	2	appos
5	Cordero	PROPN	4	flat
6	,	PUNCT	8	punct
7	ex	ADJ	8	amod
8	jefe	NOUN	4	appos
9	de	ADP	11	case
10	la	DET	11	det
11	Policía	PROPN	8	nmod
12	militarizada	ADJ	11	amod
13	de	ADP	14	case
14	Carabineros	PROPN	11	nmod
15	,	PUNCT	8	punct
16	dijo	VERB	0	root
17	que	SCONJ	19	mark
18	"	PUNCT	19	punct
19	sentimos	VERB	16	ccomp
20	que	SCONJ	23	mark
21	estamos	AUX	23	aux
22	siendo	AUX	23	aux
23	utilizados	VERB	19	ccomp
24	como	SCONJ	25	mark
25	moneda	NOUN	23	obl
26	de	ADP	27	case
27	cambio	NOUN	25	nmod
28	"	PUNCT	19	punct
29	y	CCONJ	30	cc
30	denunció	VERB	16	conj
31	"	PUNCT	33	punct
32	el	DET	33	det
33	maltrato	NOUN	30	obj
34	que	PRON	35	obj
35	sufrimos	VERB	33	acl
36	cada	NOUN	40	mark
37	vez	NOUN	36	fixed
38	que	SCONJ	36	fixed
39	se	PRON	40	expl:pass
40	plantea	VERB	35	advcl
41	el	DET	42	det
42	tema	NOUN	40	nsubj
43	de	ADP	45	case
44	las	DET	45	det
45	reformas	NOUN	42	nmod
46	"	PUNCT	33	punct
47	.	PUNCT	16	punct