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:
En sus amaneceres de cazador furtivo, Florentino Ariza las encontraba a la salida de la misa de cinco, amortajadas de negro y con el cuervo del destino en el hombro.
Postion	Tokenization
1	En
2	sus
3	amaneceres
4	de
5	cazador
6	furtivo
7	,
8	Florentino
9	Ariza
10	las
11	encontraba
12	a
13	la
14	salida
15	de
16	la
17	misa
18	de
19	cinco
20	,
21	amortajadas
22	de
23	negro
24	y
25	con
26	el
27	cuervo
28	del
29	destino
30	en
31	el
32	hombro
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	sus	DET	3	det
3	amaneceres	NOUN	11	obl
4	de	ADP	5	case
5	cazador	NOUN	3	nmod
6	furtivo	ADJ	5	amod
7	,	PUNCT	3	punct
8	Florentino	PROPN	11	nsubj
9	Ariza	PROPN	8	flat
10	las	PRON	11	obj
11	encontraba	VERB	0	root
12	a	ADP	14	case
13	la	DET	14	det
14	salida	NOUN	11	obl
15	de	ADP	17	case
16	la	DET	17	det
17	misa	NOUN	14	nmod
18	de	ADP	19	case
19	cinco	NOUN	17	nmod
20	,	PUNCT	21	punct
21	amortajadas	ADJ	11	iobj
22	de	ADP	23	case
23	negro	NOUN	21	obj
24	y	CCONJ	27	cc
25	con	ADP	27	case
26	el	DET	27	det
27	cuervo	NOUN	21	conj
28	del	ADP	29	case
29	destino	NOUN	27	nmod
30	en	ADP	32	case
31	el	DET	32	det
32	hombro	NOUN	27	nmod
33	.	PUNCT	11	punct