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:
Uno de los efectos más temidos del exceso de precipitaciones o de la acumulación sobre puntos indeseados son las avalanchas.
Postion	Tokenization
1	Uno
2	de
3	los
4	efectos
5	más
6	temidos
7	del
8	exceso
9	de
10	precipitaciones
11	o
12	de
13	la
14	acumulación
15	sobre
16	puntos
17	indeseados
18	son
19	las
20	avalanchas
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Uno	PRON	20	nsubj
2	de	ADP	4	case
3	los	DET	4	det
4	efectos	NOUN	1	nmod
5	más	ADV	6	advmod
6	temidos	ADJ	4	amod
7	del	ADP	8	case
8	exceso	NOUN	4	nmod
9	de	ADP	10	case
10	precipitaciones	NOUN	8	nmod
11	o	CCONJ	14	cc
12	de	ADP	14	case
13	la	DET	14	det
14	acumulación	NOUN	8	conj
15	sobre	ADP	16	case
16	puntos	NOUN	14	nmod
17	indeseados	ADJ	16	amod
18	son	AUX	20	cop
19	las	DET	20	det
20	avalanchas	NOUN	0	root
21	.	PUNCT	20	punct