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:
En esta línea, criticó al ministro Piqué por "tratar de falsear el significado de Lizarra", sin entender que la solución al conflicto "vendrá del reconocimiento de la realidad política de Euskal Herria".
Postion	Tokenization
1	En
2	esta
3	línea
4	,
5	criticó
6	al
7	ministro
8	Piqué
9	por
10	"
11	tratar
12	de
13	falsear
14	el
15	significado
16	de
17	Lizarra
18	"
19	,
20	sin
21	entender
22	que
23	la
24	solución
25	al
26	conflicto
27	"
28	vendrá
29	del
30	reconocimiento
31	de
32	la
33	realidad
34	política
35	de
36	Euskal
37	Herria
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	esta	DET	3	det
3	línea	NOUN	5	obl
4	,	PUNCT	3	punct
5	criticó	VERB	0	root
6	al	ADP	7	case
7	ministro	NOUN	5	obj
8	Piqué	PROPN	7	appos
9	por	ADP	11	mark
10	"	PUNCT	11	punct
11	tratar	VERB	5	advcl
12	de	ADP	13	mark
13	falsear	VERB	11	xcomp
14	el	DET	15	det
15	significado	NOUN	13	obj
16	de	ADP	17	case
17	Lizarra	PROPN	15	nmod
18	"	PUNCT	21	punct
19	,	PUNCT	21	punct
20	sin	ADP	21	mark
21	entender	VERB	13	advcl
22	que	SCONJ	28	mark
23	la	DET	24	det
24	solución	NOUN	28	nsubj
25	al	ADP	26	case
26	conflicto	NOUN	24	nmod
27	"	PUNCT	28	punct
28	vendrá	VERB	21	ccomp
29	del	ADP	30	case
30	reconocimiento	NOUN	28	obl
31	de	ADP	33	case
32	la	DET	33	det
33	realidad	NOUN	30	nmod
34	política	ADJ	33	amod
35	de	ADP	36	case
36	Euskal	PROPN	33	nmod
37	Herria	PROPN	36	flat
38	"	PUNCT	28	punct
39	.	PUNCT	5	punct