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:
Su naturaleza feraz se marchitaba sin gloria, su amor se demoraba en sollozos, y sus párpados empezaban a mostrar la sombra de las viejas amarguras.
Postion	Tokenization
1	Su
2	naturaleza
3	feraz
4	se
5	marchitaba
6	sin
7	gloria
8	,
9	su
10	amor
11	se
12	demoraba
13	en
14	sollozos
15	,
16	y
17	sus
18	párpados
19	empezaban
20	a
21	mostrar
22	la
23	sombra
24	de
25	las
26	viejas
27	amarguras
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Su	DET	2	det
2	naturaleza	NOUN	5	nsubj
3	feraz	ADJ	2	amod
4	se	PRON	5	expl:pv
5	marchitaba	VERB	0	root
6	sin	ADP	7	case
7	gloria	NOUN	5	obl
8	,	PUNCT	12	punct
9	su	DET	10	det
10	amor	NOUN	12	nsubj
11	se	PRON	12	expl:pv
12	demoraba	VERB	5	advcl
13	en	ADP	14	case
14	sollozos	NOUN	12	obl
15	,	PUNCT	12	punct
16	y	CCONJ	19	cc
17	sus	DET	18	det
18	párpados	NOUN	19	nsubj
19	empezaban	VERB	5	conj
20	a	ADP	21	mark
21	mostrar	VERB	19	xcomp
22	la	DET	23	det
23	sombra	NOUN	21	obj
24	de	ADP	27	case
25	las	DET	27	det
26	viejas	ADJ	27	amod
27	amarguras	NOUN	23	nmod
28	.	PUNCT	5	punct