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:
Ese mismo día se produjeron otras cuatro denuncias de personas de la misma urbanización del Maresme por un delito de robo con fuerza en las cosas.
Postion	Tokenization
1	Ese
2	mismo
3	día
4	se
5	produjeron
6	otras
7	cuatro
8	denuncias
9	de
10	personas
11	de
12	la
13	misma
14	urbanización
15	del
16	Maresme
17	por
18	un
19	delito
20	de
21	robo
22	con
23	fuerza
24	en
25	las
26	cosas
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ese	DET	3	det
2	mismo	DET	1	det
3	día	NOUN	5	obl
4	se	PRON	5	expl:pv
5	produjeron	VERB	0	root
6	otras	DET	8	det
7	cuatro	NUM	6	nummod
8	denuncias	NOUN	5	nsubj
9	de	ADP	10	case
10	personas	NOUN	8	nmod
11	de	ADP	14	case
12	la	DET	14	det
13	misma	DET	12	det
14	urbanización	NOUN	10	nmod
15	del	ADP	16	case
16	Maresme	PROPN	14	nmod
17	por	ADP	19	case
18	un	DET	19	det
19	delito	NOUN	8	nmod
20	de	ADP	21	case
21	robo	NOUN	19	nmod
22	con	ADP	23	case
23	fuerza	NOUN	21	nmod
24	en	ADP	26	case
25	las	DET	26	det
26	cosas	NOUN	21	nmod
27	.	PUNCT	5	punct