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 equilibrista miedoso Josep Lluís Carod-Rovira es el único que no va a los actos oficiales, no sea que alguien a la derecha o a la izquierda le pida gobernar.
Postion	Tokenization
1	El
2	equilibrista
3	miedoso
4	Josep
5	Lluís
6	Carod-Rovira
7	es
8	el
9	único
10	que
11	no
12	va
13	a
14	los
15	actos
16	oficiales
17	,
18	no
19	sea
20	que
21	alguien
22	a
23	la
24	derecha
25	o
26	a
27	la
28	izquierda
29	le
30	pida
31	gobernar
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	equilibrista	NOUN	7	nsubj
3	miedoso	ADJ	2	amod
4	Josep	PROPN	2	appos
5	Lluís	PROPN	4	flat
6	Carod-Rovira	PROPN	4	flat
7	es	AUX	0	root
8	el	DET	12	det
9	único	ADJ	12	amod
10	que	PRON	12	nsubj
11	no	ADV	12	advmod
12	va	VERB	7	ccomp
13	a	ADP	15	case
14	los	DET	15	det
15	actos	NOUN	12	obl
16	oficiales	ADJ	15	amod
17	,	PUNCT	30	punct
18	no	PART	30	mark
19	sea	NOUN	18	fixed
20	que	SCONJ	18	fixed
21	alguien	PRON	30	nsubj
22	a	ADP	24	case
23	la	DET	24	det
24	derecha	NOUN	21	nmod
25	o	CCONJ	28	cc
26	a	ADP	28	case
27	la	DET	28	det
28	izquierda	NOUN	24	conj
29	le	PRON	30	iobj
30	pida	VERB	12	advcl
31	gobernar	VERB	30	xcomp
32	.	PUNCT	7	punct