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:
Mientras, Torre asegura que necesitan ganar algún partido más, pero también defiende a sus jugadores cuando asegura que están trabajando al máximo, aunque no lleguen los triunfos y la pérdida de imagen haya sido completa.
Postion	Tokenization
1	Mientras
2	,
3	Torre
4	asegura
5	que
6	necesitan
7	ganar
8	algún
9	partido
10	más
11	,
12	pero
13	también
14	defiende
15	a
16	sus
17	jugadores
18	cuando
19	asegura
20	que
21	están
22	trabajando
23	al
24	máximo
25	,
26	aunque
27	no
28	lleguen
29	los
30	triunfos
31	y
32	la
33	pérdida
34	de
35	imagen
36	haya
37	sido
38	completa
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	SCONJ	4	mark
2	,	PUNCT	4	punct
3	Torre	PROPN	4	nsubj
4	asegura	VERB	0	root
5	que	SCONJ	6	mark
6	necesitan	VERB	4	ccomp
7	ganar	VERB	6	xcomp
8	algún	DET	9	det
9	partido	NOUN	7	obj
10	más	ADV	9	advmod
11	,	PUNCT	14	punct
12	pero	CCONJ	14	cc
13	también	ADV	14	advmod
14	defiende	VERB	4	conj
15	a	ADP	17	case
16	sus	DET	17	det
17	jugadores	NOUN	14	obj
18	cuando	SCONJ	19	mark
19	asegura	VERB	14	advcl
20	que	SCONJ	22	mark
21	están	AUX	22	aux
22	trabajando	VERB	19	ccomp
23	al	ADP	24	case
24	máximo	ADJ	22	advmod
25	,	PUNCT	28	punct
26	aunque	SCONJ	28	mark
27	no	ADV	28	advmod
28	lleguen	VERB	22	advcl
29	los	DET	30	det
30	triunfos	NOUN	28	nsubj
31	y	CCONJ	38	cc
32	la	DET	33	det
33	pérdida	NOUN	38	nsubj
34	de	ADP	35	case
35	imagen	NOUN	33	nmod
36	haya	AUX	38	aux
37	sido	AUX	38	cop
38	completa	ADJ	28	conj
39	.	PUNCT	4	punct