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:
Ni el arrebato de quienes de pronto se ponen solidarios con las víctimas de la colza o con la catedral de Burgos, que eso es mezclar churras con merinas.
Postion	Tokenization
1	Ni
2	el
3	arrebato
4	de
5	quienes
6	de
7	pronto
8	se
9	ponen
10	solidarios
11	con
12	las
13	víctimas
14	de
15	la
16	colza
17	o
18	con
19	la
20	catedral
21	de
22	Burgos
23	,
24	que
25	eso
26	es
27	mezclar
28	churras
29	con
30	merinas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ni	ADV	26	advmod
2	el	DET	3	det
3	arrebato	NOUN	26	iobj
4	de	ADP	9	mark
5	quienes	PRON	9	nsubj
6	de	ADP	9	advmod
7	pronto	NOUN	6	fixed
8	se	PRON	9	expl:pv
9	ponen	VERB	3	acl
10	solidarios	ADJ	9	obj
11	con	ADP	13	case
12	las	DET	13	det
13	víctimas	NOUN	10	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	colza	NOUN	13	nmod
17	o	CCONJ	20	cc
18	con	ADP	20	case
19	la	DET	20	det
20	catedral	NOUN	13	conj
21	de	ADP	22	case
22	Burgos	PROPN	20	nmod
23	,	PUNCT	26	punct
24	que	SCONJ	26	mark
25	eso	PRON	26	nsubj
26	es	AUX	0	root
27	mezclar	VERB	26	ccomp
28	churras	NOUN	27	obj
29	con	ADP	30	case
30	merinas	NOUN	28	compound
31	.	PUNCT	26	punct