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:
El Racing de Santander consolida su condición de equipo con más triunfos a domicilio tras vencer al Real Madrid en el Santiago Bernabéu (2-4).
Postion	Tokenization
1	El
2	Racing
3	de
4	Santander
5	consolida
6	su
7	condición
8	de
9	equipo
10	con
11	más
12	triunfos
13	a
14	domicilio
15	tras
16	vencer
17	al
18	Real
19	Madrid
20	en
21	el
22	Santiago
23	Bernabéu
24	(
25	2-4
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Racing	PROPN	5	nsubj
3	de	ADP	4	case
4	Santander	PROPN	2	flat
5	consolida	VERB	0	root
6	su	DET	7	det
7	condición	NOUN	5	obj
8	de	ADP	9	case
9	equipo	NOUN	7	nmod
10	con	ADP	12	case
11	más	ADV	12	advmod
12	triunfos	NOUN	9	nmod
13	a	ADP	14	case
14	domicilio	NOUN	12	nmod
15	tras	ADP	16	mark
16	vencer	VERB	5	advcl
17	al	ADP	18	case
18	Real	PROPN	16	obj
19	Madrid	PROPN	18	flat
20	en	ADP	22	case
21	el	DET	22	det
22	Santiago	PROPN	16	obl
23	Bernabéu	PROPN	22	flat
24	(	PUNCT	25	punct
25	2-4	NUM	16	dep
26	)	PUNCT	25	punct
27	.	PUNCT	5	punct