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:
El aviso de desprendimientos se convertía en realidades de arbustos vencidos sobre la carretera, piedras diríase que blandas desgajadas del alma inconsistente del suelo de la selva.
Postion	Tokenization
1	El
2	aviso
3	de
4	desprendimientos
5	se
6	convertía
7	en
8	realidades
9	de
10	arbustos
11	vencidos
12	sobre
13	la
14	carretera
15	,
16	piedras
17	diríase
18	que
19	blandas
20	desgajadas
21	del
22	alma
23	inconsistente
24	del
25	suelo
26	de
27	la
28	selva
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	aviso	NOUN	6	nsubj
3	de	ADP	4	case
4	desprendimientos	NOUN	2	nmod
5	se	PRON	6	expl:pv
6	convertía	VERB	0	root
7	en	ADP	8	case
8	realidades	NOUN	6	obj
9	de	ADP	10	case
10	arbustos	NOUN	8	nmod
11	vencidos	ADJ	10	amod
12	sobre	ADP	14	case
13	la	DET	14	det
14	carretera	NOUN	11	obl
15	,	PUNCT	16	punct
16	piedras	NOUN	8	conj
17	diríase	VERB	16	acl
18	que	SCONJ	19	mark
19	blandas	ADJ	17	obj
20	desgajadas	ADJ	16	amod
21	del	ADP	22	case
22	alma	NOUN	20	obl
23	inconsistente	ADJ	22	amod
24	del	ADP	25	case
25	suelo	NOUN	22	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	selva	NOUN	25	nmod
29	.	PUNCT	6	punct