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:
se enfocó desde muy antiguo hacia el transporte de vivos y bienes, del que tenía ejemplo en las naves que movía el viento por aguas y mares con estimable eficiencia.
Postion	Tokenization
1	se
2	enfocó
3	desde
4	muy
5	antiguo
6	hacia
7	el
8	transporte
9	de
10	vivos
11	y
12	bienes
13	,
14	del
15	que
16	tenía
17	ejemplo
18	en
19	las
20	naves
21	que
22	movía
23	el
24	viento
25	por
26	aguas
27	y
28	mares
29	con
30	estimable
31	eficiencia
32	.
Position	Tokenization	UPOS	Head	Deprel
1	se	PRON	2	expl:pv
2	enfocó	VERB	0	root
3	desde	ADP	5	case
4	muy	ADV	5	advmod
5	antiguo	ADV	2	advmod
6	hacia	ADP	8	case
7	el	DET	8	det
8	transporte	NOUN	2	obj
9	de	ADP	10	case
10	vivos	NOUN	8	nmod
11	y	CCONJ	12	cc
12	bienes	NOUN	10	conj
13	,	PUNCT	16	punct
14	del	ADP	15	case
15	que	PRON	16	obj
16	tenía	VERB	8	acl
17	ejemplo	NOUN	16	obj
18	en	ADP	20	case
19	las	DET	20	det
20	naves	NOUN	16	obl
21	que	PRON	22	obj
22	movía	VERB	20	acl
23	el	DET	24	det
24	viento	NOUN	22	nsubj
25	por	ADP	26	case
26	aguas	NOUN	22	obl
27	y	CCONJ	28	cc
28	mares	NOUN	26	conj
29	con	ADP	31	case
30	estimable	ADJ	31	amod
31	eficiencia	NOUN	22	obl
32	.	PUNCT	2	punct