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:
"Nada me va a impedir que entre en una Secretaría del Estado por la puerta del frente", dijo Covas tras ser rescatado del tumulto por sus guardaespaldas.
Postion	Tokenization
1	"
2	Nada
3	me
4	va
5	a
6	impedir
7	que
8	entre
9	en
10	una
11	Secretaría
12	del
13	Estado
14	por
15	la
16	puerta
17	del
18	frente
19	"
20	,
21	dijo
22	Covas
23	tras
24	ser
25	rescatado
26	del
27	tumulto
28	por
29	sus
30	guardaespaldas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Nada	PRON	6	nsubj
3	me	PRON	6	obj
4	va	AUX	6	aux
5	a	ADP	6	mark
6	impedir	VERB	21	xcomp
7	que	SCONJ	8	mark
8	entre	VERB	6	ccomp
9	en	ADP	11	case
10	una	DET	11	det
11	Secretaría	PROPN	8	obl
12	del	ADP	13	case
13	Estado	PROPN	11	flat
14	por	ADP	16	case
15	la	DET	16	det
16	puerta	NOUN	8	obl
17	del	ADP	18	case
18	frente	NOUN	16	nmod
19	"	PUNCT	6	punct
20	,	PUNCT	6	punct
21	dijo	VERB	0	root
22	Covas	PROPN	21	nsubj
23	tras	ADP	25	mark
24	ser	AUX	25	aux
25	rescatado	VERB	21	advcl
26	del	ADP	27	case
27	tumulto	NOUN	25	obl
28	por	ADP	30	case
29	sus	DET	30	det
30	guardaespaldas	NOUN	25	obj
31	.	PUNCT	21	punct