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:
Las mismas fuentes subrayaron que se trata de tres personas muy conocidas en el barrio por sus actos delictivos desde su más temprana juventud.
Postion	Tokenization
1	Las
2	mismas
3	fuentes
4	subrayaron
5	que
6	se
7	trata
8	de
9	tres
10	personas
11	muy
12	conocidas
13	en
14	el
15	barrio
16	por
17	sus
18	actos
19	delictivos
20	desde
21	su
22	más
23	temprana
24	juventud
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	3	det
2	mismas	DET	1	det
3	fuentes	NOUN	4	nsubj
4	subrayaron	VERB	0	root
5	que	SCONJ	7	mark
6	se	PRON	7	expl:impers
7	trata	VERB	4	ccomp
8	de	ADP	10	case
9	tres	NUM	10	nummod
10	personas	NOUN	7	obj
11	muy	ADV	12	advmod
12	conocidas	ADJ	10	amod
13	en	ADP	15	case
14	el	DET	15	det
15	barrio	NOUN	12	obl
16	por	ADP	18	case
17	sus	DET	18	det
18	actos	NOUN	12	obl
19	delictivos	ADJ	18	amod
20	desde	ADP	24	case
21	su	DET	24	det
22	más	ADV	23	advmod
23	temprana	ADJ	24	amod
24	juventud	NOUN	12	obl
25	.	PUNCT	4	punct