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 un escenario de alta competitividad como el actual, nos consideramos un instrumento técnico al servicio de poderosos operadores, inmersos en una vorágine de fusiones multimedia", señaló el presidente de Hispasat.
Postion	Tokenization
1	"
2	En
3	un
4	escenario
5	de
6	alta
7	competitividad
8	como
9	el
10	actual
11	,
12	nos
13	consideramos
14	un
15	instrumento
16	técnico
17	al
18	servicio
19	de
20	poderosos
21	operadores
22	,
23	inmersos
24	en
25	una
26	vorágine
27	de
28	fusiones
29	multimedia
30	"
31	,
32	señaló
33	el
34	presidente
35	de
36	Hispasat
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	13	punct
2	En	ADP	4	case
3	un	DET	4	det
4	escenario	NOUN	13	obl
5	de	ADP	7	case
6	alta	ADJ	7	amod
7	competitividad	NOUN	4	nmod
8	como	SCONJ	10	mark
9	el	DET	10	det
10	actual	ADJ	4	amod
11	,	PUNCT	4	punct
12	nos	PRON	13	obj
13	consideramos	VERB	32	ccomp
14	un	DET	15	det
15	instrumento	NOUN	13	obl
16	técnico	ADJ	15	amod
17	al	ADP	18	case
18	servicio	NOUN	15	nmod
19	de	ADP	21	case
20	poderosos	ADJ	21	amod
21	operadores	NOUN	18	nmod
22	,	PUNCT	23	punct
23	inmersos	ADJ	21	amod
24	en	ADP	26	case
25	una	DET	26	det
26	vorágine	NOUN	23	nmod
27	de	ADP	28	case
28	fusiones	NOUN	26	nmod
29	multimedia	NOUN	28	nmod
30	"	PUNCT	13	punct
31	,	PUNCT	13	punct
32	señaló	VERB	0	root
33	el	DET	34	det
34	presidente	NOUN	32	nsubj
35	de	ADP	36	case
36	Hispasat	PROPN	34	nmod
37	.	PUNCT	32	punct