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:
Por eso, los técnicos descartan por completo que se trate de grietas originadas por el deterioro de la goma con el paso del tiempo o que se haya seccionado de forma accidental.
Postion	Tokenization
1	Por
2	eso
3	,
4	los
5	técnicos
6	descartan
7	por
8	completo
9	que
10	se
11	trate
12	de
13	grietas
14	originadas
15	por
16	el
17	deterioro
18	de
19	la
20	goma
21	con
22	el
23	paso
24	del
25	tiempo
26	o
27	que
28	se
29	haya
30	seccionado
31	de
32	forma
33	accidental
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	eso	PRON	6	obl
3	,	PUNCT	2	punct
4	los	DET	5	det
5	técnicos	NOUN	6	nsubj
6	descartan	VERB	0	root
7	por	ADP	6	advmod
8	completo	NOUN	7	fixed
9	que	SCONJ	11	mark
10	se	PRON	11	expl:impers
11	trate	VERB	6	ccomp
12	de	ADP	13	case
13	grietas	NOUN	11	obj
14	originadas	ADJ	13	amod
15	por	ADP	17	case
16	el	DET	17	det
17	deterioro	NOUN	14	obj
18	de	ADP	20	case
19	la	DET	20	det
20	goma	NOUN	17	nmod
21	con	ADP	23	case
22	el	DET	23	det
23	paso	NOUN	14	obl
24	del	ADP	25	case
25	tiempo	NOUN	23	nmod
26	o	CCONJ	30	cc
27	que	SCONJ	30	mark
28	se	PRON	30	expl:pass
29	haya	AUX	30	aux
30	seccionado	VERB	11	conj
31	de	ADP	32	case
32	forma	NOUN	30	obl
33	accidental	ADJ	32	amod
34	.	PUNCT	6	punct