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:
Una, la MIR, que sigue una formación reglada, con estándares prefijados y larga tradición que necesita una puesta al día que nosotros mismos hemos manifestado recientemente.
Postion	Tokenization
1	Una
2	,
3	la
4	MIR
5	,
6	que
7	sigue
8	una
9	formación
10	reglada
11	,
12	con
13	estándares
14	prefijados
15	y
16	larga
17	tradición
18	que
19	necesita
20	una
21	puesta
22	al
23	día
24	que
25	nosotros
26	mismos
27	hemos
28	manifestado
29	recientemente
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	PRON	0	root
2	,	PUNCT	4	punct
3	la	DET	4	det
4	MIR	PROPN	1	appos
5	,	PUNCT	4	punct
6	que	PRON	7	nsubj
7	sigue	VERB	1	acl
8	una	DET	9	det
9	formación	NOUN	7	obj
10	reglada	ADJ	9	amod
11	,	PUNCT	13	punct
12	con	ADP	13	case
13	estándares	NOUN	9	nmod
14	prefijados	ADJ	13	amod
15	y	CCONJ	17	cc
16	larga	ADJ	17	amod
17	tradición	NOUN	13	conj
18	que	PRON	19	nsubj
19	necesita	VERB	9	acl
20	una	DET	21	det
21	puesta	NOUN	19	obj
22	al	ADP	23	case
23	día	NOUN	21	nmod
24	que	PRON	28	obj
25	nosotros	PRON	28	nsubj
26	mismos	PRON	25	appos
27	hemos	AUX	28	aux
28	manifestado	VERB	21	acl
29	recientemente	ADV	28	advmod
30	.	PUNCT	1	punct