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:
Así las cosas, el Lleida, efectivamente, tuvo el balón en su poder, trianguló y realizó mil y un intentos para ganar el partido, pero la realidad es que dispuso de muy pocas ocasiones de gol.
Postion	Tokenization
1	Así
2	las
3	cosas
4	,
5	el
6	Lleida
7	,
8	efectivamente
9	,
10	tuvo
11	el
12	balón
13	en
14	su
15	poder
16	,
17	trianguló
18	y
19	realizó
20	mil
21	y
22	un
23	intentos
24	para
25	ganar
26	el
27	partido
28	,
29	pero
30	la
31	realidad
32	es
33	que
34	dispuso
35	de
36	muy
37	pocas
38	ocasiones
39	de
40	gol
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Así	ADV	3	advmod
2	las	DET	3	det
3	cosas	NOUN	10	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	Lleida	PROPN	10	nsubj
7	,	PUNCT	8	punct
8	efectivamente	ADV	10	advmod
9	,	PUNCT	8	punct
10	tuvo	VERB	0	root
11	el	DET	12	det
12	balón	NOUN	10	obj
13	en	ADP	15	case
14	su	DET	15	det
15	poder	NOUN	10	obl
16	,	PUNCT	17	punct
17	trianguló	VERB	10	advcl
18	y	CCONJ	19	cc
19	realizó	VERB	10	conj
20	mil	NUM	23	nummod
21	y	CCONJ	22	cc
22	un	DET	20	conj
23	intentos	NOUN	19	obj
24	para	ADP	25	mark
25	ganar	VERB	23	acl
26	el	DET	27	det
27	partido	NOUN	25	obj
28	,	PUNCT	32	punct
29	pero	CCONJ	32	cc
30	la	DET	31	det
31	realidad	NOUN	32	nsubj
32	es	AUX	10	conj
33	que	SCONJ	34	mark
34	dispuso	VERB	32	ccomp
35	de	ADP	38	case
36	muy	ADV	37	advmod
37	pocas	DET	38	det
38	ocasiones	NOUN	34	obj
39	de	ADP	40	case
40	gol	NOUN	38	nmod
41	.	PUNCT	10	punct