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 técnico anunció que van a corregir los errores porque las fallas "son más fáciles de superar cuando se gana que cuando uno queda amargado por la derrota".
Postion	Tokenization
1	El
2	técnico
3	anunció
4	que
5	van
6	a
7	corregir
8	los
9	errores
10	porque
11	las
12	fallas
13	"
14	son
15	más
16	fáciles
17	de
18	superar
19	cuando
20	se
21	gana
22	que
23	cuando
24	uno
25	queda
26	amargado
27	por
28	la
29	derrota
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	3	nsubj
3	anunció	VERB	0	root
4	que	SCONJ	7	mark
5	van	AUX	7	aux
6	a	ADP	7	mark
7	corregir	VERB	3	xcomp
8	los	DET	9	det
9	errores	NOUN	7	obj
10	porque	SCONJ	16	mark
11	las	DET	12	det
12	fallas	NOUN	16	nsubj
13	"	PUNCT	16	punct
14	son	AUX	16	cop
15	más	ADV	16	advmod
16	fáciles	ADJ	7	advcl
17	de	ADP	18	mark
18	superar	VERB	16	acl
19	cuando	SCONJ	21	mark
20	se	PRON	21	expl:impers
21	gana	VERB	16	advcl
22	que	SCONJ	25	mark
23	cuando	SCONJ	25	mark
24	uno	PRON	25	nsubj
25	queda	VERB	16	advcl
26	amargado	ADJ	25	obj
27	por	ADP	29	case
28	la	DET	29	det
29	derrota	NOUN	26	obl
30	"	PUNCT	16	punct
31	.	PUNCT	3	punct