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:
La oficina del sheriff, que declinó hacer comentarios y dirigió cualquier pregunta al COI, reconoció que tanto el propietario de la casa como una mujer de la limpieza sufrieron heridas al manipular el material encontrado.
Postion	Tokenization
1	La
2	oficina
3	del
4	sheriff
5	,
6	que
7	declinó
8	hacer
9	comentarios
10	y
11	dirigió
12	cualquier
13	pregunta
14	al
15	COI
16	,
17	reconoció
18	que
19	tanto
20	el
21	propietario
22	de
23	la
24	casa
25	como
26	una
27	mujer
28	de
29	la
30	limpieza
31	sufrieron
32	heridas
33	al
34	manipular
35	el
36	material
37	encontrado
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	oficina	NOUN	17	nsubj
3	del	ADP	4	case
4	sheriff	NOUN	2	nmod
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	declinó	VERB	4	acl
8	hacer	VERB	7	xcomp
9	comentarios	NOUN	8	obj
10	y	CCONJ	11	cc
11	dirigió	VERB	7	conj
12	cualquier	DET	13	det
13	pregunta	NOUN	11	obj
14	al	ADP	15	case
15	COI	PROPN	11	obj
16	,	PUNCT	7	punct
17	reconoció	VERB	0	root
18	que	SCONJ	31	mark
19	tanto	ADV	21	cc
20	el	DET	21	det
21	propietario	NOUN	31	nsubj
22	de	ADP	24	case
23	la	DET	24	det
24	casa	NOUN	21	nmod
25	como	SCONJ	27	cc
26	una	DET	27	det
27	mujer	NOUN	21	conj
28	de	ADP	30	case
29	la	DET	30	det
30	limpieza	NOUN	27	nmod
31	sufrieron	VERB	17	ccomp
32	heridas	NOUN	31	obj
33	al	ADP	34	mark
34	manipular	VERB	31	advcl
35	el	DET	36	det
36	material	NOUN	34	obj
37	encontrado	ADJ	36	amod
38	.	PUNCT	17	punct