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 policía registra desde ayer minuciosamente en el puerto de Las Palmas la estructura, los recovecos y las mercancías del barco en busca del alijo que supuestamente transportaba.
Postion	Tokenization
1	La
2	policía
3	registra
4	desde
5	ayer
6	minuciosamente
7	en
8	el
9	puerto
10	de
11	Las
12	Palmas
13	la
14	estructura
15	,
16	los
17	recovecos
18	y
19	las
20	mercancías
21	del
22	barco
23	en
24	busca
25	del
26	alijo
27	que
28	supuestamente
29	transportaba
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	3	nsubj
3	registra	VERB	0	root
4	desde	ADP	5	case
5	ayer	ADV	3	advmod
6	minuciosamente	ADV	3	advmod
7	en	ADP	9	case
8	el	DET	9	det
9	puerto	NOUN	3	obl
10	de	ADP	12	case
11	Las	DET	12	det
12	Palmas	PROPN	9	nmod
13	la	DET	14	det
14	estructura	NOUN	3	obj
15	,	PUNCT	17	punct
16	los	DET	17	det
17	recovecos	NOUN	14	appos
18	y	CCONJ	20	cc
19	las	DET	20	det
20	mercancías	NOUN	14	conj
21	del	ADP	22	case
22	barco	NOUN	20	nmod
23	en	ADP	24	case
24	busca	NOUN	3	obl
25	del	ADP	26	case
26	alijo	NOUN	24	nmod
27	que	PRON	29	obj
28	supuestamente	ADV	29	advmod
29	transportaba	VERB	26	acl
30	.	PUNCT	3	punct