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:
Desde esta noche mismo, cuando la Penya recibirá al Tau en la primera jornada del año en la Liga ACB, el nombre DKV Seguros se incorporará a la camiseta.
Postion	Tokenization
1	Desde
2	esta
3	noche
4	mismo
5	,
6	cuando
7	la
8	Penya
9	recibirá
10	al
11	Tau
12	en
13	la
14	primera
15	jornada
16	del
17	año
18	en
19	la
20	Liga
21	ACB
22	,
23	el
24	nombre
25	DKV
26	Seguros
27	se
28	incorporará
29	a
30	la
31	camiseta
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	esta	DET	3	det
3	noche	NOUN	28	obl
4	mismo	ADJ	3	amod
5	,	PUNCT	9	punct
6	cuando	PRON	9	obl
7	la	DET	8	det
8	Penya	PROPN	9	nsubj
9	recibirá	VERB	3	acl
10	al	ADP	11	case
11	Tau	PROPN	9	obj
12	en	ADP	15	case
13	la	DET	15	det
14	primera	ADJ	15	amod
15	jornada	NOUN	9	obl
16	del	ADP	17	case
17	año	NOUN	15	nmod
18	en	ADP	20	case
19	la	DET	20	det
20	Liga	PROPN	15	nmod
21	ACB	PROPN	20	flat
22	,	PUNCT	3	punct
23	el	DET	24	det
24	nombre	NOUN	28	nsubj
25	DKV	PROPN	24	appos
26	Seguros	PROPN	25	flat
27	se	PRON	28	expl:pass
28	incorporará	VERB	0	root
29	a	ADP	31	case
30	la	DET	31	det
31	camiseta	NOUN	28	obj
32	.	PUNCT	28	punct