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:
La decisión dejó satisfechos a los colombianos, especialmente al presidente del país, Andrés Pastrana, que había asegurado que la celebración del torneo en su país "no estaba en discusión".
Postion	Tokenization
1	La
2	decisión
3	dejó
4	satisfechos
5	a
6	los
7	colombianos
8	,
9	especialmente
10	al
11	presidente
12	del
13	país
14	,
15	Andrés
16	Pastrana
17	,
18	que
19	había
20	asegurado
21	que
22	la
23	celebración
24	del
25	torneo
26	en
27	su
28	país
29	"
30	no
31	estaba
32	en
33	discusión
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	decisión	NOUN	3	nsubj
3	dejó	VERB	0	root
4	satisfechos	ADJ	3	obj
5	a	ADP	7	case
6	los	DET	7	det
7	colombianos	NOUN	3	obj
8	,	PUNCT	9	punct
9	especialmente	ADV	7	advmod
10	al	ADP	9	case
11	presidente	NOUN	9	nmod
12	del	ADP	13	case
13	país	NOUN	11	nmod
14	,	PUNCT	15	punct
15	Andrés	PROPN	11	appos
16	Pastrana	PROPN	15	flat
17	,	PUNCT	15	punct
18	que	PRON	20	nsubj
19	había	AUX	20	aux
20	asegurado	VERB	11	acl
21	que	SCONJ	33	mark
22	la	DET	23	det
23	celebración	NOUN	33	nsubj
24	del	ADP	25	case
25	torneo	NOUN	23	nmod
26	en	ADP	28	case
27	su	DET	28	det
28	país	NOUN	23	nmod
29	"	PUNCT	33	punct
30	no	ADV	33	advmod
31	estaba	AUX	33	cop
32	en	ADP	33	case
33	discusión	NOUN	20	ccomp
34	"	PUNCT	33	punct
35	.	PUNCT	3	punct