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:
Ayer, sin ir más lejos, el pánico de la bomba cerca del Bernabéu nos recordó que la muerte indiscriminada es algo muy próximo.
Postion	Tokenization
1	Ayer
2	,
3	sin
4	ir
5	más
6	lejos
7	,
8	el
9	pánico
10	de
11	la
12	bomba
13	cerca
14	del
15	Bernabéu
16	nos
17	recordó
18	que
19	la
20	muerte
21	indiscriminada
22	es
23	algo
24	muy
25	próximo
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayer	ADV	17	advmod
2	,	PUNCT	3	punct
3	sin	ADP	1	advmod
4	ir	NOUN	3	fixed
5	más	ADV	3	fixed
6	lejos	ADV	3	fixed
7	,	PUNCT	3	punct
8	el	DET	9	det
9	pánico	NOUN	17	nsubj
10	de	ADP	12	case
11	la	DET	12	det
12	bomba	NOUN	9	nmod
13	cerca	ADV	12	advmod
14	del	ADP	15	case
15	Bernabéu	PROPN	13	obl
16	nos	PRON	17	iobj
17	recordó	VERB	0	root
18	que	SCONJ	23	mark
19	la	DET	20	det
20	muerte	NOUN	23	nsubj
21	indiscriminada	ADJ	20	amod
22	es	AUX	23	cop
23	algo	PRON	17	ccomp
24	muy	ADV	25	advmod
25	próximo	ADJ	23	amod
26	.	PUNCT	17	punct