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 gobernador de Texas y candidato presidencial republicano también fue detenido brevemente cuando era estudiante debido a conducta desordenada durante un partido universitario de fútbol americano.
Postion	Tokenization
1	El
2	gobernador
3	de
4	Texas
5	y
6	candidato
7	presidencial
8	republicano
9	también
10	fue
11	detenido
12	brevemente
13	cuando
14	era
15	estudiante
16	debido
17	a
18	conducta
19	desordenada
20	durante
21	un
22	partido
23	universitario
24	de
25	fútbol
26	americano
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	gobernador	NOUN	11	nsubj
3	de	ADP	4	case
4	Texas	PROPN	2	nmod
5	y	CCONJ	6	cc
6	candidato	NOUN	2	conj
7	presidencial	ADJ	6	amod
8	republicano	ADJ	6	amod
9	también	ADV	11	advmod
10	fue	AUX	11	aux
11	detenido	VERB	0	root
12	brevemente	ADV	11	advmod
13	cuando	SCONJ	15	mark
14	era	AUX	15	cop
15	estudiante	NOUN	11	advcl
16	debido	ADJ	18	case
17	a	ADP	16	fixed
18	conducta	NOUN	11	obl
19	desordenada	ADJ	18	amod
20	durante	ADP	22	case
21	un	DET	22	det
22	partido	NOUN	18	nmod
23	universitario	ADJ	22	amod
24	de	ADP	25	case
25	fútbol	NOUN	22	nmod
26	americano	ADJ	25	amod
27	.	PUNCT	11	punct