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:
En unas breves palabras de presentación, Pablo de Grecia recordó los lazos que unen a ambas familias y aseguró que considera a don Felipe "uno de los mejores amigos que tengo aunque vivamos en países diferentes".
Postion	Tokenization
1	En
2	unas
3	breves
4	palabras
5	de
6	presentación
7	,
8	Pablo
9	de
10	Grecia
11	recordó
12	los
13	lazos
14	que
15	unen
16	a
17	ambas
18	familias
19	y
20	aseguró
21	que
22	considera
23	a
24	don
25	Felipe
26	"
27	uno
28	de
29	los
30	mejores
31	amigos
32	que
33	tengo
34	aunque
35	vivamos
36	en
37	países
38	diferentes
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	unas	DET	4	det
3	breves	ADJ	4	amod
4	palabras	NOUN	11	obl
5	de	ADP	6	case
6	presentación	NOUN	4	nmod
7	,	PUNCT	4	punct
8	Pablo	PROPN	11	nsubj
9	de	ADP	10	case
10	Grecia	PROPN	8	flat
11	recordó	VERB	0	root
12	los	DET	13	det
13	lazos	NOUN	11	obj
14	que	PRON	15	nsubj
15	unen	VERB	13	acl
16	a	ADP	18	case
17	ambas	NUM	18	nummod
18	familias	NOUN	15	obj
19	y	CCONJ	20	cc
20	aseguró	VERB	11	conj
21	que	SCONJ	22	mark
22	considera	VERB	20	ccomp
23	a	ADP	25	case
24	don	NOUN	22	obj
25	Felipe	PROPN	24	flat
26	"	PUNCT	22	punct
27	uno	PRON	22	obj
28	de	ADP	31	case
29	los	DET	31	det
30	mejores	ADJ	31	amod
31	amigos	NOUN	27	nmod
32	que	PRON	33	obj
33	tengo	VERB	31	acl
34	aunque	SCONJ	35	mark
35	vivamos	VERB	22	advcl
36	en	ADP	37	case
37	países	NOUN	35	obl
38	diferentes	ADJ	37	amod
39	"	PUNCT	22	punct
40	.	PUNCT	11	punct