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 agresores le robaron y le dieron una paliza en plena calle, después de insultarle con frases como "negro, vuelve a tu país".
Postion	Tokenization
1	Los
2	agresores
3	le
4	robaron
5	y
6	le
7	dieron
8	una
9	paliza
10	en
11	plena
12	calle
13	,
14	después
15	de
16	insultarle
17	insultar
18	le
19	con
20	frases
21	como
22	"
23	negro
24	,
25	vuelve
26	a
27	tu
28	país
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	agresores	NOUN	4	nsubj
3	le	PRON	4	obj
4	robaron	VERB	0	root
5	y	CCONJ	7	cc
6	le	PRON	7	obj
7	dieron	VERB	4	conj
8	una	DET	9	det
9	paliza	NOUN	7	obj
10	en	ADP	12	case
11	plena	ADJ	12	amod
12	calle	NOUN	7	obl
13	,	PUNCT	14	punct
14	después	ADV	4	advmod
15	de	ADP	16	mark
16	insultarle	_	None	_
17	insultar	VERB	14	advcl
18	le	PRON	16	obj
19	con	ADP	19	case
20	frases	NOUN	16	obl
21	como	SCONJ	22	mark
22	"	PUNCT	22	punct
23	negro	NOUN	19	nmod
24	,	PUNCT	22	punct
25	vuelve	NOUN	22	compound
26	a	ADP	26	case
27	tu	NOUN	22	compound
28	país	NOUN	22	compound
29	"	PUNCT	22	punct
30	.	PUNCT	4	punct