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 Mossos d'Esquadra localizaron en el local a 10 menores que consumían alcohol y en el suelo encontraron además hachís y tres bolas de cocaína.
Postion	Tokenization
1	Los
2	Mossos
3	d'Esquadra
4	localizaron
5	en
6	el
7	local
8	a
9	10
10	menores
11	que
12	consumían
13	alcohol
14	y
15	en
16	el
17	suelo
18	encontraron
19	además
20	hachís
21	y
22	tres
23	bolas
24	de
25	cocaína
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	Mossos	PROPN	4	nsubj
3	d'Esquadra	PROPN	2	flat
4	localizaron	VERB	0	root
5	en	ADP	7	case
6	el	DET	7	det
7	local	NOUN	4	obl
8	a	ADP	12	mark
9	10	NUM	12	nummod
10	menores	ADJ	12	amod
11	que	PRON	12	nsubj
12	consumían	VERB	4	ccomp
13	alcohol	NOUN	12	obj
14	y	CCONJ	18	cc
15	en	ADP	17	case
16	el	DET	17	det
17	suelo	NOUN	18	obl
18	encontraron	VERB	4	conj
19	además	ADV	18	advmod
20	hachís	NOUN	18	obj
21	y	CCONJ	23	cc
22	tres	NUM	23	nummod
23	bolas	NOUN	20	conj
24	de	ADP	25	case
25	cocaína	NOUN	23	nmod
26	.	PUNCT	4	punct