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:
Más que a los clásicos, esta escena nos recuerda un bolero de La Trinca llamado Corazón loco, historia de dos amores, Catalunya y España, republicanos y conservadores, nacionalistas y españolistas.
Postion	Tokenization
1	Más
2	que
3	a
4	los
5	clásicos
6	,
7	esta
8	escena
9	nos
10	recuerda
11	un
12	bolero
13	de
14	La
15	Trinca
16	llamado
17	Corazón
18	loco
19	,
20	historia
21	de
22	dos
23	amores
24	,
25	Catalunya
26	y
27	España
28	,
29	republicanos
30	y
31	conservadores
32	,
33	nacionalistas
34	y
35	españolistas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	10	advmod
2	que	SCONJ	5	mark
3	a	ADP	5	case
4	los	DET	5	det
5	clásicos	NOUN	1	obl
6	,	PUNCT	1	punct
7	esta	DET	8	det
8	escena	NOUN	10	nsubj
9	nos	PRON	10	iobj
10	recuerda	VERB	0	root
11	un	DET	12	det
12	bolero	NOUN	10	obj
13	de	ADP	15	case
14	La	DET	15	det
15	Trinca	PROPN	12	nmod
16	llamado	ADJ	12	amod
17	Corazón	PROPN	16	obj
18	loco	PROPN	17	flat
19	,	PUNCT	20	punct
20	historia	NOUN	12	appos
21	de	ADP	23	case
22	dos	NUM	23	nummod
23	amores	NOUN	20	nmod
24	,	PUNCT	25	punct
25	Catalunya	PROPN	23	appos
26	y	CCONJ	27	cc
27	España	PROPN	25	conj
28	,	PUNCT	29	punct
29	republicanos	NOUN	25	conj
30	y	CCONJ	31	cc
31	conservadores	NOUN	29	conj
32	,	PUNCT	33	punct
33	nacionalistas	NOUN	25	conj
34	y	CCONJ	35	cc
35	españolistas	NOUN	33	conj
36	.	PUNCT	10	punct