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:
Por desgracia, el mar ya no es libre, y su riqueza se agota o cae en manos de los depredadores: que más da que lleven traje y corbata o chilaba y turbante.
Postion	Tokenization
1	Por
2	desgracia
3	,
4	el
5	mar
6	ya
7	no
8	es
9	libre
10	,
11	y
12	su
13	riqueza
14	se
15	agota
16	o
17	cae
18	en
19	manos
20	de
21	los
22	depredadores
23	:
24	que
25	más
26	da
27	que
28	lleven
29	traje
30	y
31	corbata
32	o
33	chilaba
34	y
35	turbante
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	9	advmod
2	desgracia	NOUN	1	fixed
3	,	PUNCT	1	punct
4	el	DET	5	det
5	mar	NOUN	9	nsubj
6	ya	ADV	9	advmod
7	no	ADV	9	advmod
8	es	AUX	9	cop
9	libre	ADJ	0	root
10	,	PUNCT	15	punct
11	y	CCONJ	15	cc
12	su	DET	13	det
13	riqueza	NOUN	15	nsubj
14	se	PRON	15	expl:pv
15	agota	VERB	9	conj
16	o	CCONJ	17	cc
17	cae	VERB	15	conj
18	en	ADP	22	case
19	manos	NOUN	18	fixed
20	de	ADP	18	fixed
21	los	DET	22	det
22	depredadores	NOUN	17	obl
23	:	PUNCT	26	punct
24	que	SCONJ	26	mark
25	más	ADV	24	fixed
26	da	VERB	9	advcl
27	que	SCONJ	28	mark
28	lleven	VERB	26	csubj
29	traje	NOUN	28	obj
30	y	CCONJ	31	cc
31	corbata	NOUN	29	conj
32	o	CCONJ	33	cc
33	chilaba	NOUN	29	conj
34	y	CCONJ	35	cc
35	turbante	NOUN	33	conj
36	.	PUNCT	9	punct