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:
Se dice que en el fútbol no hay romanticismo, pero yo sigo la filosofía antigua y por eso pienso que voy a seguir muchos años aquí ", auguró.
Postion	Tokenization
1	Se
2	dice
3	que
4	en
5	el
6	fútbol
7	no
8	hay
9	romanticismo
10	,
11	pero
12	yo
13	sigo
14	la
15	filosofía
16	antigua
17	y
18	por
19	eso
20	pienso
21	que
22	voy
23	a
24	seguir
25	muchos
26	años
27	aquí
28	"
29	,
30	auguró
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pass
2	dice	VERB	30	ccomp
3	que	SCONJ	8	mark
4	en	ADP	6	case
5	el	DET	6	det
6	fútbol	NOUN	8	obl
7	no	ADV	8	advmod
8	hay	AUX	2	ccomp
9	romanticismo	NOUN	8	obj
10	,	PUNCT	13	punct
11	pero	CCONJ	13	cc
12	yo	PRON	13	nsubj
13	sigo	VERB	2	conj
14	la	DET	15	det
15	filosofía	NOUN	13	obj
16	antigua	ADJ	15	amod
17	y	CCONJ	20	cc
18	por	ADP	19	case
19	eso	PRON	20	obl
20	pienso	VERB	13	conj
21	que	SCONJ	24	mark
22	voy	AUX	24	aux
23	a	ADP	24	mark
24	seguir	VERB	20	xcomp
25	muchos	DET	26	det
26	años	NOUN	24	obl
27	aquí	ADV	24	advmod
28	"	PUNCT	2	punct
29	,	PUNCT	2	punct
30	auguró	VERB	0	root
31	.	PUNCT	30	punct