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:
También en Campo Real, donde se ubicará el futuro aeropuerto de Madrid casi el 60 por ciento dio su confianza a las propuestas del PP.
Postion	Tokenization
1	También
2	en
3	Campo
4	Real
5	,
6	donde
7	se
8	ubicará
9	el
10	futuro
11	aeropuerto
12	de
13	Madrid
14	casi
15	el
16	60
17	por
18	ciento
19	dio
20	su
21	confianza
22	a
23	las
24	propuestas
25	del
26	PP
27	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	19	advmod
2	en	ADP	1	case
3	Campo	PROPN	1	nmod
4	Real	PROPN	3	flat
5	,	PUNCT	8	punct
6	donde	PRON	8	obl
7	se	PRON	8	expl:pv
8	ubicará	VERB	3	acl
9	el	DET	11	det
10	futuro	ADJ	11	amod
11	aeropuerto	NOUN	8	nsubj
12	de	ADP	13	case
13	Madrid	PROPN	11	nmod
14	casi	ADV	16	advmod
15	el	DET	16	det
16	60	NUM	19	nsubj
17	por	ADP	18	case
18	ciento	NUM	16	compound
19	dio	VERB	0	root
20	su	DET	21	det
21	confianza	NOUN	19	obj
22	a	ADP	24	case
23	las	DET	24	det
24	propuestas	NOUN	19	obj
25	del	ADP	26	case
26	PP	PROPN	24	nmod
27	.	PUNCT	19	punct