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 imagen de mayor solvencia que dejó el Boca Juniors antes del descanso quedó hecha añicos en una de las primeras jugadas del segundo tiempo.
Postion	Tokenization
1	La
2	imagen
3	de
4	mayor
5	solvencia
6	que
7	dejó
8	el
9	Boca
10	Juniors
11	antes
12	del
13	descanso
14	quedó
15	hecha
16	añicos
17	en
18	una
19	de
20	las
21	primeras
22	jugadas
23	del
24	segundo
25	tiempo
26	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	imagen	NOUN	14	nsubj
3	de	ADP	5	case
4	mayor	ADJ	5	amod
5	solvencia	NOUN	2	nmod
6	que	PRON	7	obj
7	dejó	VERB	2	acl
8	el	DET	9	det
9	Boca	PROPN	7	nsubj
10	Juniors	PROPN	9	flat
11	antes	ADV	7	advmod
12	del	ADP	13	case
13	descanso	NOUN	11	obl
14	quedó	VERB	0	root
15	hecha	ADJ	14	obj
16	añicos	ADJ	15	amod
17	en	ADP	18	case
18	una	DET	15	det
19	de	ADP	18	case
20	las	DET	22	det
21	primeras	ADJ	22	amod
22	jugadas	NOUN	18	obl
23	del	ADP	25	case
24	segundo	ADJ	25	amod
25	tiempo	NOUN	22	nmod
26	.	PUNCT	14	punct