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 lehendakari mostró su solidaridad con los que sufren la violencia y la persecución por defender sus ideas, y tuvo un recuerdo especial para las familias de los 23 asesinados por ETA el año pasado.
Postion	Tokenization
1	El
2	lehendakari
3	mostró
4	su
5	solidaridad
6	con
7	los
8	que
9	sufren
10	la
11	violencia
12	y
13	la
14	persecución
15	por
16	defender
17	sus
18	ideas
19	,
20	y
21	tuvo
22	un
23	recuerdo
24	especial
25	para
26	las
27	familias
28	de
29	los
30	23
31	asesinados
32	por
33	ETA
34	el
35	año
36	pasado
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	lehendakari	NOUN	3	nsubj
3	mostró	VERB	0	root
4	su	DET	5	det
5	solidaridad	NOUN	3	obj
6	con	ADP	9	mark
7	los	DET	9	det
8	que	PRON	9	nsubj
9	sufren	VERB	5	acl
10	la	DET	11	det
11	violencia	NOUN	9	obj
12	y	CCONJ	14	cc
13	la	DET	14	det
14	persecución	NOUN	11	conj
15	por	ADP	16	mark
16	defender	VERB	9	advcl
17	sus	DET	18	det
18	ideas	NOUN	16	obj
19	,	PUNCT	21	punct
20	y	CCONJ	21	cc
21	tuvo	VERB	3	conj
22	un	DET	23	det
23	recuerdo	NOUN	21	obj
24	especial	ADJ	23	amod
25	para	ADP	27	case
26	las	DET	27	det
27	familias	NOUN	23	nmod
28	de	ADP	31	case
29	los	DET	30	det
30	23	NUM	31	nummod
31	asesinados	ADJ	27	amod
32	por	ADP	33	case
33	ETA	PROPN	31	obj
34	el	DET	35	det
35	año	NOUN	31	obl
36	pasado	ADJ	35	amod
37	.	PUNCT	3	punct