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:
Fermina Daza había rechazado a Florentino Ariza en un destello de madurez que pagó de inmediato con una por segunda vez para una visita médica no solicitada.
Postion	Tokenization
1	Fermina
2	Daza
3	había
4	rechazado
5	a
6	Florentino
7	Ariza
8	en
9	un
10	destello
11	de
12	madurez
13	que
14	pagó
15	de
16	inmediato
17	con
18	una
19	por
20	segunda
21	vez
22	para
23	una
24	visita
25	médica
26	no
27	solicitada
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Fermina	PROPN	4	nsubj
2	Daza	PROPN	1	flat
3	había	AUX	4	aux
4	rechazado	VERB	0	root
5	a	ADP	6	case
6	Florentino	PROPN	4	obj
7	Ariza	PROPN	6	flat
8	en	ADP	10	case
9	un	DET	10	det
10	destello	NOUN	4	obl
11	de	ADP	12	case
12	madurez	NOUN	10	nmod
13	que	PRON	14	obj
14	pagó	VERB	10	acl
15	de	ADP	14	advmod
16	inmediato	NOUN	15	fixed
17	con	ADP	18	case
18	una	PRON	14	obl
19	por	ADP	21	case
20	segunda	ADJ	21	amod
21	vez	NOUN	14	obl
22	para	ADP	24	case
23	una	DET	24	det
24	visita	NOUN	14	obl
25	médica	ADJ	24	amod
26	no	ADV	27	advmod
27	solicitada	ADJ	24	amod
28	.	PUNCT	4	punct