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:
López Amor pidió al empresariado español que conceda a Hispasat, "en igualdad de condiciones", cierta preferencia respecto a otras empresas de la competencia.
Postion	Tokenization
1	López
2	Amor
3	pidió
4	al
5	empresariado
6	español
7	que
8	conceda
9	a
10	Hispasat
11	,
12	"
13	en
14	igualdad
15	de
16	condiciones
17	"
18	,
19	cierta
20	preferencia
21	respecto
22	a
23	otras
24	empresas
25	de
26	la
27	competencia
28	.
Position	Tokenization	UPOS	Head	Deprel
1	López	PROPN	3	nsubj
2	Amor	PROPN	1	flat
3	pidió	VERB	0	root
4	al	ADP	5	case
5	empresariado	NOUN	3	iobj
6	español	ADJ	5	amod
7	que	SCONJ	8	mark
8	conceda	VERB	3	ccomp
9	a	ADP	10	case
10	Hispasat	PROPN	8	obj
11	,	PUNCT	14	punct
12	"	PUNCT	14	punct
13	en	ADP	14	case
14	igualdad	NOUN	8	obl
15	de	ADP	16	case
16	condiciones	NOUN	14	nmod
17	"	PUNCT	14	punct
18	,	PUNCT	14	punct
19	cierta	DET	20	det
20	preferencia	NOUN	8	obj
21	respecto	NOUN	24	case
22	a	ADP	21	fixed
23	otras	DET	24	det
24	empresas	NOUN	20	nmod
25	de	ADP	27	case
26	la	DET	27	det
27	competencia	NOUN	24	nmod
28	.	PUNCT	3	punct