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:
Añadió que "yo soy uno de los dos conductores del presidente del Gobierno, pero no me podía perder este viaje, que es un gran honor y un orgullo para nuestro pueblo".
Postion	Tokenization
1	Añadió
2	que
3	"
4	yo
5	soy
6	uno
7	de
8	los
9	dos
10	conductores
11	del
12	presidente
13	del
14	Gobierno
15	,
16	pero
17	no
18	me
19	podía
20	perder
21	este
22	viaje
23	,
24	que
25	es
26	un
27	gran
28	honor
29	y
30	un
31	orgullo
32	para
33	nuestro
34	pueblo
35	"
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Añadió	VERB	0	root
2	que	SCONJ	6	mark
3	"	PUNCT	6	punct
4	yo	PRON	6	nsubj
5	soy	AUX	6	cop
6	uno	PRON	1	ccomp
7	de	ADP	10	case
8	los	DET	10	det
9	dos	NUM	8	nummod
10	conductores	NOUN	6	nmod
11	del	ADP	12	case
12	presidente	NOUN	10	nmod
13	del	ADP	14	case
14	Gobierno	PROPN	12	nmod
15	,	PUNCT	20	punct
16	pero	CCONJ	20	cc
17	no	ADV	20	advmod
18	me	PRON	20	expl:pv
19	podía	AUX	20	aux
20	perder	VERB	6	conj
21	este	DET	22	det
22	viaje	NOUN	20	obj
23	,	PUNCT	28	punct
24	que	PRON	28	nsubj
25	es	AUX	28	cop
26	un	DET	28	det
27	gran	ADJ	28	amod
28	honor	NOUN	22	acl
29	y	CCONJ	31	cc
30	un	DET	31	det
31	orgullo	NOUN	28	conj
32	para	ADP	34	case
33	nuestro	DET	34	det
34	pueblo	NOUN	31	nmod
35	"	PUNCT	6	punct
36	.	PUNCT	1	punct