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:
La buena noticia es que el problema no es tan grave y que en poco tiempo estará de regreso, este es otro bache pero confío en que podamos superarlo".
Postion	Tokenization
1	La
2	buena
3	noticia
4	es
5	que
6	el
7	problema
8	no
9	es
10	tan
11	grave
12	y
13	que
14	en
15	poco
16	tiempo
17	estará
18	de
19	regreso
20	,
21	este
22	es
23	otro
24	bache
25	pero
26	confío
27	en
28	que
29	podamos
30	superarlo
31	superar
32	lo
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	buena	ADJ	3	amod
3	noticia	NOUN	4	nsubj
4	es	AUX	0	root
5	que	SCONJ	11	mark
6	el	DET	7	det
7	problema	NOUN	11	nsubj
8	no	ADV	11	advmod
9	es	AUX	11	cop
10	tan	ADV	11	advmod
11	grave	ADJ	4	ccomp
12	y	CCONJ	19	cc
13	que	SCONJ	19	mark
14	en	ADP	16	case
15	poco	PRON	16	nmod
16	tiempo	NOUN	19	obl
17	estará	AUX	19	cop
18	de	ADP	19	case
19	regreso	NOUN	11	conj
20	,	PUNCT	4	punct
21	este	PRON	24	nsubj
22	es	AUX	24	cop
23	otro	DET	24	det
24	bache	NOUN	4	advcl
25	pero	CCONJ	26	cc
26	confío	VERB	24	conj
27	en	ADP	30	mark
28	que	SCONJ	30	mark
29	podamos	AUX	30	aux
30	superarlo	_	None	_
31	superar	VERB	26	xcomp
32	lo	PRON	30	obj
33	"	PUNCT	4	punct
34	.	PUNCT	4	punct