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:
Es lo único que da resultados ", mientras que otro obrero sostenía que" hace tiempo que lo teníamos en mente, ya no tenemos mucho que perder".
Postion	Tokenization
1	Es
2	lo
3	único
4	que
5	da
6	resultados
7	"
8	,
9	mientras
10	que
11	otro
12	obrero
13	sostenía
14	que
15	"
16	hace
17	tiempo
18	que
19	lo
20	teníamos
21	en
22	mente
23	,
24	ya
25	no
26	tenemos
27	mucho
28	que
29	perder
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Es	AUX	9	parataxis
2	lo	PRON	5	det
3	único	ADJ	5	amod
4	que	PRON	5	nsubj
5	da	VERB	1	ccomp
6	resultados	NOUN	5	obj
7	"	PUNCT	9	punct
8	,	PUNCT	9	punct
9	mientras	CCONJ	0	root
10	que	SCONJ	9	fixed
11	otro	DET	12	det
12	obrero	NOUN	13	nsubj
13	sostenía	VERB	9	parataxis
14	que	SCONJ	20	mark
15	"	PUNCT	20	punct
16	hace	VERB	20	advcl
17	tiempo	NOUN	16	obj
18	que	SCONJ	20	mark
19	lo	PRON	20	obj
20	teníamos	VERB	13	ccomp
21	en	ADP	22	case
22	mente	NOUN	20	obl
23	,	PUNCT	20	punct
24	ya	ADV	26	advmod
25	no	ADV	26	advmod
26	tenemos	VERB	20	advcl
27	mucho	PRON	26	obj
28	que	PRON	29	obj
29	perder	VERB	27	acl
30	"	PUNCT	20	punct
31	.	PUNCT	9	punct