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:
Dios conocía el esfuerzo que hizo Fermina Daza para no acompañarla cuando la prima fue a conocer a Florentino Ariza en la oficina del telégrafo.
Postion	Tokenization
1	Dios
2	conocía
3	el
4	esfuerzo
5	que
6	hizo
7	Fermina
8	Daza
9	para
10	no
11	acompañarla
12	acompañar
13	la
14	cuando
15	la
16	prima
17	fue
18	a
19	conocer
20	a
21	Florentino
22	Ariza
23	en
24	la
25	oficina
26	del
27	telégrafo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Dios	PROPN	2	nsubj
2	conocía	VERB	0	root
3	el	DET	4	det
4	esfuerzo	NOUN	2	obj
5	que	PRON	6	obj
6	hizo	VERB	4	acl
7	Fermina	PROPN	6	nsubj
8	Daza	PROPN	7	flat
9	para	ADP	11	mark
10	no	ADV	11	advmod
11	acompañarla	_	None	_
12	acompañar	VERB	6	advcl
13	la	PRON	11	obj
14	cuando	SCONJ	11	mark
15	la	DET	15	det
16	prima	NOUN	11	nsubj
17	fue	AUX	11	aux
18	a	ADP	18	mark
19	conocer	VERB	11	xcomp
20	a	ADP	20	case
21	Florentino	PROPN	18	obj
22	Ariza	PROPN	20	flat
23	en	ADP	24	case
24	la	DET	24	det
25	oficina	NOUN	11	obl
26	del	ADP	26	case
27	telégrafo	NOUN	24	nmod
28	.	PUNCT	2	punct