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:
El cambio de imagen hizo que algunas vacas sagradas, como Naybet o Djalminha, tomaran conciencia de que el Deportivo podía ganar sin ellos a cualquier equipo grande.
Postion	Tokenization
1	El
2	cambio
3	de
4	imagen
5	hizo
6	que
7	algunas
8	vacas
9	sagradas
10	,
11	como
12	Naybet
13	o
14	Djalminha
15	,
16	tomaran
17	conciencia
18	de
19	que
20	el
21	Deportivo
22	podía
23	ganar
24	sin
25	ellos
26	a
27	cualquier
28	equipo
29	grande
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	cambio	NOUN	5	nsubj
3	de	ADP	4	case
4	imagen	NOUN	2	nmod
5	hizo	VERB	0	root
6	que	SCONJ	16	mark
7	algunas	DET	8	det
8	vacas	NOUN	16	nsubj
9	sagradas	ADJ	8	amod
10	,	PUNCT	12	punct
11	como	SCONJ	12	mark
12	Naybet	PROPN	8	nmod
13	o	CCONJ	14	cc
14	Djalminha	PROPN	12	conj
15	,	PUNCT	12	punct
16	tomaran	VERB	5	ccomp
17	conciencia	NOUN	16	iobj
18	de	ADP	23	mark
19	que	SCONJ	23	mark
20	el	DET	21	det
21	Deportivo	PROPN	23	nsubj
22	podía	AUX	23	aux
23	ganar	VERB	16	xcomp
24	sin	ADP	25	case
25	ellos	PRON	23	obl
26	a	ADP	28	case
27	cualquier	DET	28	det
28	equipo	NOUN	23	obj
29	grande	ADJ	28	amod
30	.	PUNCT	5	punct