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:
A la media hora a rodar, Alex y yo ya nos entendíamos a la perfección, cuando él empezaba a hablar o mover la cabeza yo ya sabía lo que quería.
Postion	Tokenization
1	A
2	la
3	media
4	hora
5	a
6	rodar
7	,
8	Alex
9	y
10	yo
11	ya
12	nos
13	entendíamos
14	a
15	la
16	perfección
17	,
18	cuando
19	él
20	empezaba
21	a
22	hablar
23	o
24	mover
25	la
26	cabeza
27	yo
28	ya
29	sabía
30	lo
31	que
32	quería
33	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	la	DET	4	det
3	media	NUM	2	nummod
4	hora	NOUN	13	obl
5	a	ADP	6	mark
6	rodar	VERB	4	acl
7	,	PUNCT	4	punct
8	Alex	PROPN	13	nsubj
9	y	CCONJ	10	cc
10	yo	PRON	8	conj
11	ya	ADV	13	advmod
12	nos	PRON	13	obj
13	entendíamos	VERB	0	root
14	a	ADP	13	advmod
15	la	DET	14	fixed
16	perfección	NOUN	14	fixed
17	,	PUNCT	29	punct
18	cuando	SCONJ	20	mark
19	él	PRON	20	nsubj
20	empezaba	VERB	29	advcl
21	a	ADP	22	mark
22	hablar	VERB	20	xcomp
23	o	CCONJ	24	cc
24	mover	VERB	22	conj
25	la	DET	26	det
26	cabeza	NOUN	24	obj
27	yo	PRON	29	nsubj
28	ya	ADV	29	advmod
29	sabía	VERB	13	advcl
30	lo	PRON	32	det
31	que	PRON	32	obj
32	quería	VERB	29	ccomp
33	.	PUNCT	13	punct