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:
Los vecinos se han quejado en varias ocasiones de que el lugar era frecuentado por delincuentes, en su mayoría jóvenes de la propia barriada.
Postion	Tokenization
1	Los
2	vecinos
3	se
4	han
5	quejado
6	en
7	varias
8	ocasiones
9	de
10	que
11	el
12	lugar
13	era
14	frecuentado
15	por
16	delincuentes
17	,
18	en
19	su
20	mayoría
21	jóvenes
22	de
23	la
24	propia
25	barriada
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	vecinos	NOUN	5	nsubj
3	se	PRON	5	expl:pv
4	han	AUX	5	aux
5	quejado	VERB	0	root
6	en	ADP	8	case
7	varias	DET	8	det
8	ocasiones	NOUN	5	obl
9	de	ADP	14	mark
10	que	SCONJ	14	mark
11	el	DET	12	det
12	lugar	NOUN	14	nsubj
13	era	AUX	14	aux
14	frecuentado	VERB	5	ccomp
15	por	ADP	16	case
16	delincuentes	NOUN	14	obj
17	,	PUNCT	21	punct
18	en	ADP	20	case
19	su	DET	20	det
20	mayoría	NOUN	21	nmod
21	jóvenes	ADJ	16	amod
22	de	ADP	25	case
23	la	DET	25	det
24	propia	DET	23	det
25	barriada	NOUN	21	nmod
26	.	PUNCT	5	punct