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:
Peña dijo que no fue tomado en cuenta en los últimos tres partidos del Valladolid y reiteró que no puede seguir en un club donde no tiene cabida.
Postion	Tokenization
1	Peña
2	dijo
3	que
4	no
5	fue
6	tomado
7	en
8	cuenta
9	en
10	los
11	últimos
12	tres
13	partidos
14	del
15	Valladolid
16	y
17	reiteró
18	que
19	no
20	puede
21	seguir
22	en
23	un
24	club
25	donde
26	no
27	tiene
28	cabida
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Peña	PROPN	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	6	mark
4	no	ADV	6	advmod
5	fue	AUX	6	aux
6	tomado	VERB	2	ccomp
7	en	ADP	8	case
8	cuenta	NOUN	6	compound
9	en	ADP	13	case
10	los	DET	13	det
11	últimos	ADJ	10	amod
12	tres	NUM	10	nummod
13	partidos	NOUN	6	obl
14	del	ADP	15	case
15	Valladolid	PROPN	13	nmod
16	y	CCONJ	17	cc
17	reiteró	VERB	2	conj
18	que	SCONJ	21	mark
19	no	ADV	21	advmod
20	puede	AUX	21	aux
21	seguir	VERB	17	xcomp
22	en	ADP	24	case
23	un	DET	24	det
24	club	NOUN	21	obl
25	donde	PRON	27	obl
26	no	ADV	27	advmod
27	tiene	VERB	24	acl
28	cabida	NOUN	27	obj
29	.	PUNCT	2	punct