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:
Más ímpetu que lucidez, más corazón que capacidad de rendir airosos y eficaces los esquemas de ataque ", se recoge en la crónica del partido de dicho diario.
Postion	Tokenization
1	Más
2	ímpetu
3	que
4	lucidez
5	,
6	más
7	corazón
8	que
9	capacidad
10	de
11	rendir
12	airosos
13	y
14	eficaces
15	los
16	esquemas
17	de
18	ataque
19	"
20	,
21	se
22	recoge
23	en
24	la
25	crónica
26	del
27	partido
28	de
29	dicho
30	diario
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	2	advmod
2	ímpetu	NOUN	22	nsubj
3	que	SCONJ	4	mark
4	lucidez	NOUN	2	nmod
5	,	PUNCT	2	punct
6	más	ADV	7	advmod
7	corazón	NOUN	2	nmod
8	que	SCONJ	9	mark
9	capacidad	NOUN	7	nmod
10	de	ADP	11	mark
11	rendir	VERB	9	acl
12	airosos	ADJ	11	obj
13	y	CCONJ	14	cc
14	eficaces	ADJ	12	conj
15	los	DET	16	det
16	esquemas	NOUN	11	nsubj
17	de	ADP	18	case
18	ataque	NOUN	16	nmod
19	"	PUNCT	2	punct
20	,	PUNCT	2	punct
21	se	PRON	22	expl:pass
22	recoge	VERB	0	root
23	en	ADP	25	case
24	la	DET	25	det
25	crónica	NOUN	22	obl
26	del	ADP	27	case
27	partido	NOUN	25	nmod
28	de	ADP	30	case
29	dicho	ADJ	30	amod
30	diario	NOUN	25	nmod
31	.	PUNCT	22	punct