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:
Cuenta la historia de amor entre Daniel, un médico de ideas republicanas, y Marisa, la hija de un contrabandista fascista.
Postion	Tokenization
1	Cuenta
2	la
3	historia
4	de
5	amor
6	entre
7	Daniel
8	,
9	un
10	médico
11	de
12	ideas
13	republicanas
14	,
15	y
16	Marisa
17	,
18	la
19	hija
20	de
21	un
22	contrabandista
23	fascista
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Cuenta	VERB	0	root
2	la	DET	3	det
3	historia	NOUN	1	obj
4	de	ADP	5	case
5	amor	NOUN	3	nmod
6	entre	ADP	7	case
7	Daniel	PROPN	3	nmod
8	,	PUNCT	10	punct
9	un	DET	10	det
10	médico	NOUN	7	appos
11	de	ADP	12	case
12	ideas	NOUN	10	nmod
13	republicanas	ADJ	12	amod
14	,	PUNCT	10	punct
15	y	CCONJ	16	cc
16	Marisa	PROPN	7	conj
17	,	PUNCT	19	punct
18	la	DET	19	det
19	hija	NOUN	16	appos
20	de	ADP	22	case
21	un	DET	22	det
22	contrabandista	NOUN	19	nmod
23	fascista	ADJ	22	amod
24	.	PUNCT	1	punct