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:
El más carismático jugador rojiblanco hasta hace unos meses fue objeto el sábado por la noche de un intento de agresión a la salida del estadio, después de la humillante derrota ante el Murcia.
Postion	Tokenization
1	El
2	más
3	carismático
4	jugador
5	rojiblanco
6	hasta
7	hace
8	unos
9	meses
10	fue
11	objeto
12	el
13	sábado
14	por
15	la
16	noche
17	de
18	un
19	intento
20	de
21	agresión
22	a
23	la
24	salida
25	del
26	estadio
27	,
28	después
29	de
30	la
31	humillante
32	derrota
33	ante
34	el
35	Murcia
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	4	det
2	más	ADV	3	advmod
3	carismático	ADJ	4	amod
4	jugador	NOUN	11	nsubj
5	rojiblanco	ADJ	4	amod
6	hasta	ADP	7	mark
7	hace	VERB	4	advcl
8	unos	DET	9	det
9	meses	NOUN	7	obj
10	fue	AUX	11	cop
11	objeto	NOUN	0	root
12	el	DET	13	det
13	sábado	NOUN	11	obl
14	por	ADP	16	case
15	la	DET	16	det
16	noche	NOUN	13	nmod
17	de	ADP	19	case
18	un	DET	19	det
19	intento	NOUN	11	obj
20	de	ADP	21	case
21	agresión	NOUN	19	nmod
22	a	ADP	24	case
23	la	DET	24	det
24	salida	NOUN	11	obl
25	del	ADP	26	case
26	estadio	NOUN	24	nmod
27	,	PUNCT	28	punct
28	después	ADV	11	advmod
29	de	ADP	32	case
30	la	DET	32	det
31	humillante	ADJ	32	amod
32	derrota	NOUN	28	obl
33	ante	ADP	35	case
34	el	DET	35	det
35	Murcia	PROPN	32	nmod
36	.	PUNCT	11	punct