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:
"Lo mejor del partido es que, además de los goles, hemos dado la cara cuando íbamos con el marcador en contra", ha añadido Flores.
Postion	Tokenization
1	"
2	Lo
3	mejor
4	del
5	partido
6	es
7	que
8	,
9	además
10	de
11	los
12	goles
13	,
14	hemos
15	dado
16	la
17	cara
18	cuando
19	íbamos
20	con
21	el
22	marcador
23	en
24	contra
25	"
26	,
27	ha
28	añadido
29	Flores
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	15	punct
2	Lo	PRON	3	det
3	mejor	ADJ	15	nsubj
4	del	ADP	5	case
5	partido	NOUN	3	nmod
6	es	AUX	15	cop
7	que	SCONJ	15	mark
8	,	PUNCT	9	punct
9	además	ADV	15	advmod
10	de	ADP	12	case
11	los	DET	12	det
12	goles	NOUN	9	obl
13	,	PUNCT	9	punct
14	hemos	AUX	15	aux
15	dado	VERB	28	ccomp
16	la	DET	17	det
17	cara	NOUN	15	obj
18	cuando	SCONJ	19	mark
19	íbamos	VERB	15	advcl
20	con	ADP	22	case
21	el	DET	22	det
22	marcador	NOUN	19	obl
23	en	ADP	22	advmod
24	contra	NOUN	23	fixed
25	"	PUNCT	15	punct
26	,	PUNCT	15	punct
27	ha	AUX	28	aux
28	añadido	VERB	0	root
29	Flores	PROPN	28	nsubj
30	.	PUNCT	28	punct