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 Direcció General de Seguretat Ciutadana ha sancionado con 16 días de suspensión de empleo y sueldo a un mosso que se refirió a una agente como "mi churri", por considerarlo una falta de respeto.
Postion	Tokenization
1	La
2	Direcció
3	General
4	de
5	Seguretat
6	Ciutadana
7	ha
8	sancionado
9	con
10	16
11	días
12	de
13	suspensión
14	de
15	empleo
16	y
17	sueldo
18	a
19	un
20	mosso
21	que
22	se
23	refirió
24	a
25	una
26	agente
27	como
28	"
29	mi
30	churri
31	"
32	,
33	por
34	considerarlo
35	considerar
36	lo
37	una
38	falta
39	de
40	respeto
41	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Direcció	PROPN	8	nsubj
3	General	PROPN	2	flat
4	de	ADP	5	case
5	Seguretat	PROPN	2	flat
6	Ciutadana	PROPN	2	flat
7	ha	AUX	8	aux
8	sancionado	VERB	0	root
9	con	ADP	11	case
10	16	NUM	11	nummod
11	días	NOUN	8	obl
12	de	ADP	13	case
13	suspensión	NOUN	11	nmod
14	de	ADP	15	case
15	empleo	NOUN	11	nmod
16	y	CCONJ	17	cc
17	sueldo	NOUN	15	conj
18	a	ADP	20	case
19	un	DET	20	det
20	mosso	NOUN	8	obj
21	que	PRON	23	nsubj
22	se	PRON	23	expl:pv
23	refirió	VERB	20	acl
24	a	ADP	26	case
25	una	DET	26	det
26	agente	NOUN	23	obj
27	como	SCONJ	30	mark
28	"	PUNCT	30	punct
29	mi	DET	30	det
30	churri	NOUN	23	obl
31	"	PUNCT	30	punct
32	,	PUNCT	23	punct
33	por	ADP	34	mark
34	considerarlo	_	None	_
35	considerar	VERB	8	advcl
36	lo	PRON	34	obj
37	una	DET	37	det
38	falta	NOUN	34	obj
39	de	ADP	39	case
40	respeto	NOUN	37	nmod
41	.	PUNCT	8	punct