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:
Valero apuntó que los próximos dos meses van a resultar claves para percibir si se ratifica la tendencia de estancamiento de la demanda, aunque dijo que, por ahora, la situación no es grave.
Postion	Tokenization
1	Valero
2	apuntó
3	que
4	los
5	próximos
6	dos
7	meses
8	van
9	a
10	resultar
11	claves
12	para
13	percibir
14	si
15	se
16	ratifica
17	la
18	tendencia
19	de
20	estancamiento
21	de
22	la
23	demanda
24	,
25	aunque
26	dijo
27	que
28	,
29	por
30	ahora
31	,
32	la
33	situación
34	no
35	es
36	grave
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Valero	PROPN	2	nsubj
2	apuntó	VERB	0	root
3	que	SCONJ	10	mark
4	los	DET	7	det
5	próximos	ADJ	4	amod
6	dos	NUM	4	nummod
7	meses	NOUN	10	nsubj
8	van	AUX	10	aux
9	a	ADP	10	mark
10	resultar	VERB	2	xcomp
11	claves	NOUN	10	obl
12	para	ADP	13	mark
13	percibir	VERB	11	acl
14	si	SCONJ	16	mark
15	se	PRON	16	expl:pass
16	ratifica	VERB	13	ccomp
17	la	DET	18	det
18	tendencia	NOUN	16	nsubj
19	de	ADP	20	case
20	estancamiento	NOUN	18	nmod
21	de	ADP	23	case
22	la	DET	23	det
23	demanda	NOUN	20	nmod
24	,	PUNCT	26	punct
25	aunque	SCONJ	26	mark
26	dijo	VERB	2	advcl
27	que	SCONJ	36	mark
28	,	PUNCT	30	punct
29	por	ADP	30	case
30	ahora	ADV	36	advmod
31	,	PUNCT	30	punct
32	la	DET	33	det
33	situación	NOUN	36	nsubj
34	no	ADV	36	advmod
35	es	AUX	36	cop
36	grave	ADJ	26	ccomp
37	.	PUNCT	2	punct