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:
Los delegados del sindicato también recogieron muestras de los vertidos para que Aeropuertos Españoles y Navegación Aérea (AENA) pudiera "tener constancia" de los destrozos causados por los piquetes.
Postion	Tokenization
1	Los
2	delegados
3	del
4	sindicato
5	también
6	recogieron
7	muestras
8	de
9	los
10	vertidos
11	para
12	que
13	Aeropuertos
14	Españoles
15	y
16	Navegación
17	Aérea
18	(
19	AENA
20	)
21	pudiera
22	"
23	tener
24	constancia
25	"
26	de
27	los
28	destrozos
29	causados
30	por
31	los
32	piquetes
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	delegados	NOUN	6	nsubj
3	del	ADP	4	case
4	sindicato	NOUN	2	nmod
5	también	ADV	6	advmod
6	recogieron	VERB	0	root
7	muestras	NOUN	6	obj
8	de	ADP	10	case
9	los	DET	10	det
10	vertidos	NOUN	7	nmod
11	para	ADP	23	mark
12	que	SCONJ	23	mark
13	Aeropuertos	PROPN	23	nsubj
14	Españoles	PROPN	13	flat
15	y	CCONJ	16	cc
16	Navegación	PROPN	13	conj
17	Aérea	PROPN	16	flat
18	(	PUNCT	19	punct
19	AENA	PROPN	13	flat
20	)	PUNCT	19	punct
21	pudiera	AUX	23	aux
22	"	PUNCT	23	punct
23	tener	VERB	6	advcl
24	constancia	NOUN	23	obj
25	"	PUNCT	24	punct
26	de	ADP	28	case
27	los	DET	28	det
28	destrozos	NOUN	24	nmod
29	causados	ADJ	28	amod
30	por	ADP	32	case
31	los	DET	32	det
32	piquetes	NOUN	29	obj
33	.	PUNCT	6	punct