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:
La selección venezolana, con la inclusión del jugador de la U.D. Las Palmas, se concentrará el próximo lunes en Caracas para el duelo ante Panamá.
Postion	Tokenization
1	La
2	selección
3	venezolana
4	,
5	con
6	la
7	inclusión
8	del
9	jugador
10	de
11	la
12	U.D.
13	Las
14	Palmas
15	,
16	se
17	concentrará
18	el
19	próximo
20	lunes
21	en
22	Caracas
23	para
24	el
25	duelo
26	ante
27	Panamá
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	selección	NOUN	17	nsubj
3	venezolana	ADJ	2	amod
4	,	PUNCT	7	punct
5	con	ADP	7	case
6	la	DET	7	det
7	inclusión	NOUN	2	nmod
8	del	ADP	9	case
9	jugador	NOUN	7	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	U.D.	PROPN	9	nmod
13	Las	DET	14	det
14	Palmas	PROPN	12	flat
15	,	PUNCT	7	punct
16	se	PRON	17	expl:pv
17	concentrará	VERB	0	root
18	el	DET	20	det
19	próximo	ADJ	20	amod
20	lunes	NOUN	17	obl
21	en	ADP	22	case
22	Caracas	PROPN	17	obl
23	para	ADP	25	case
24	el	DET	25	det
25	duelo	NOUN	17	obl
26	ante	ADP	27	case
27	Panamá	PROPN	25	nmod
28	.	PUNCT	17	punct