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:
Señaló que está muy triste por esta situación, aunque afirmó que le reconforta el apoyo de la hinchada del Valladolid que ha estado con él en todo momento.
Postion	Tokenization
1	Señaló
2	que
3	está
4	muy
5	triste
6	por
7	esta
8	situación
9	,
10	aunque
11	afirmó
12	que
13	le
14	reconforta
15	el
16	apoyo
17	de
18	la
19	hinchada
20	del
21	Valladolid
22	que
23	ha
24	estado
25	con
26	él
27	en
28	todo
29	momento
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Señaló	VERB	0	root
2	que	SCONJ	5	mark
3	está	AUX	5	cop
4	muy	ADV	5	advmod
5	triste	ADJ	1	ccomp
6	por	ADP	8	case
7	esta	DET	8	det
8	situación	NOUN	5	obl
9	,	PUNCT	11	punct
10	aunque	SCONJ	11	mark
11	afirmó	VERB	1	advcl
12	que	SCONJ	14	mark
13	le	PRON	14	obj
14	reconforta	VERB	11	ccomp
15	el	DET	16	det
16	apoyo	NOUN	14	nsubj
17	de	ADP	19	case
18	la	DET	19	det
19	hinchada	NOUN	16	nmod
20	del	ADP	21	case
21	Valladolid	PROPN	19	nmod
22	que	PRON	24	nsubj
23	ha	AUX	24	aux
24	estado	VERB	19	acl
25	con	ADP	26	case
26	él	PRON	24	obl
27	en	ADP	29	case
28	todo	DET	29	det
29	momento	NOUN	24	obl
30	.	PUNCT	1	punct