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:
Sin embargo, en esa categoría de los personajes mentalmente inestables deberá competir este año con Russell Crowe, que en Una mente maravillosa también da rienda suelta a su vena histriónica interpretando a un esquizofrénico.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	en
5	esa
6	categoría
7	de
8	los
9	personajes
10	mentalmente
11	inestables
12	deberá
13	competir
14	este
15	año
16	con
17	Russell
18	Crowe
19	,
20	que
21	en
22	Una
23	mente
24	maravillosa
25	también
26	da
27	rienda
28	suelta
29	a
30	su
31	vena
32	histriónica
33	interpretando
34	a
35	un
36	esquizofrénico
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	13	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	en	ADP	6	case
5	esa	DET	6	det
6	categoría	NOUN	13	obl
7	de	ADP	9	case
8	los	DET	9	det
9	personajes	NOUN	6	nmod
10	mentalmente	ADV	11	advmod
11	inestables	ADJ	9	amod
12	deberá	AUX	13	aux
13	competir	VERB	0	root
14	este	DET	15	det
15	año	NOUN	13	obl
16	con	ADP	17	case
17	Russell	PROPN	13	obj
18	Crowe	PROPN	17	flat
19	,	PUNCT	26	punct
20	que	PRON	26	nsubj
21	en	ADP	23	case
22	Una	DET	23	det
23	mente	PROPN	26	obl
24	maravillosa	PROPN	23	flat
25	también	ADV	26	advmod
26	da	VERB	17	acl
27	rienda	NOUN	26	obj
28	suelta	ADJ	27	amod
29	a	ADP	31	case
30	su	DET	31	det
31	vena	NOUN	26	obj
32	histriónica	ADJ	31	amod
33	interpretando	VERB	26	advcl
34	a	ADP	36	case
35	un	DET	36	det
36	esquizofrénico	NOUN	33	obj
37	.	PUNCT	13	punct