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 tensión que enfrenta al PNV y al PP se disparó ayer con otro cruce de acusaciones a cuenta de la actuación del Ministerio del Interior.
Postion	Tokenization
1	La
2	tensión
3	que
4	enfrenta
5	al
6	PNV
7	y
8	al
9	PP
10	se
11	disparó
12	ayer
13	con
14	otro
15	cruce
16	de
17	acusaciones
18	a
19	cuenta
20	de
21	la
22	actuación
23	del
24	Ministerio
25	del
26	Interior
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	tensión	NOUN	11	nsubj
3	que	PRON	4	nsubj
4	enfrenta	VERB	2	acl
5	al	ADP	6	case
6	PNV	PROPN	4	obj
7	y	CCONJ	9	cc
8	al	ADP	9	case
9	PP	PROPN	6	conj
10	se	PRON	11	expl:pv
11	disparó	VERB	0	root
12	ayer	ADV	11	advmod
13	con	ADP	15	case
14	otro	DET	15	det
15	cruce	NOUN	11	obl
16	de	ADP	17	case
17	acusaciones	NOUN	15	nmod
18	a	ADP	22	case
19	cuenta	NOUN	18	fixed
20	de	ADP	18	fixed
21	la	DET	22	det
22	actuación	NOUN	15	nmod
23	del	ADP	24	case
24	Ministerio	PROPN	22	nmod
25	del	ADP	26	case
26	Interior	PROPN	24	flat
27	.	PUNCT	11	punct