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 da la circunstancia de que el verde y el negro (los colores de la Penya) también lo son del logotipo de la compañía.
Postion	Tokenization
1	Se
2	da
3	la
4	circunstancia
5	de
6	que
7	el
8	verde
9	y
10	el
11	negro
12	(
13	los
14	colores
15	de
16	la
17	Penya
18	)
19	también
20	lo
21	son
22	del
23	logotipo
24	de
25	la
26	compañía
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pv
2	da	VERB	0	root
3	la	DET	4	det
4	circunstancia	NOUN	2	nsubj
5	de	ADP	20	mark
6	que	SCONJ	20	mark
7	el	DET	8	det
8	verde	NOUN	20	nsubj
9	y	CCONJ	11	cc
10	el	DET	11	det
11	negro	NOUN	8	conj
12	(	PUNCT	14	punct
13	los	DET	14	det
14	colores	NOUN	8	appos
15	de	ADP	17	case
16	la	DET	17	det
17	Penya	PROPN	14	nmod
18	)	PUNCT	14	punct
19	también	ADV	20	advmod
20	lo	PRON	4	acl
21	son	AUX	20	cop
22	del	ADP	23	case
23	logotipo	NOUN	20	obj
24	de	ADP	26	case
25	la	DET	26	det
26	compañía	NOUN	23	nmod
27	.	PUNCT	2	punct