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 entrenador del Lleida reconoció que su equipo estuvo mejor en la primera parte que en la segunda, pero no insistió en buscar responsabilidades.
Postion	Tokenization
1	El
2	entrenador
3	del
4	Lleida
5	reconoció
6	que
7	su
8	equipo
9	estuvo
10	mejor
11	en
12	la
13	primera
14	parte
15	que
16	en
17	la
18	segunda
19	,
20	pero
21	no
22	insistió
23	en
24	buscar
25	responsabilidades
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	entrenador	NOUN	5	nsubj
3	del	ADP	4	case
4	Lleida	PROPN	2	nmod
5	reconoció	VERB	0	root
6	que	SCONJ	10	mark
7	su	DET	8	det
8	equipo	NOUN	10	nsubj
9	estuvo	AUX	10	cop
10	mejor	ADV	5	ccomp
11	en	ADP	14	case
12	la	DET	14	det
13	primera	ADJ	14	amod
14	parte	NOUN	10	obl
15	que	SCONJ	18	mark
16	en	ADP	18	case
17	la	DET	18	det
18	segunda	ADJ	10	obl
19	,	PUNCT	22	punct
20	pero	CCONJ	22	cc
21	no	ADV	22	advmod
22	insistió	VERB	5	conj
23	en	ADP	24	mark
24	buscar	VERB	22	xcomp
25	responsabilidades	NOUN	24	obj
26	.	PUNCT	5	punct