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:
Para el segundo tiempo el técnico local, Diego Umaña, envió al campo a jugadores de experiencia como Carlos Castro y Andrés Pérez, quienes fueron fundamentales en el ataque de Millonarios.
Postion	Tokenization
1	Para
2	el
3	segundo
4	tiempo
5	el
6	técnico
7	local
8	,
9	Diego
10	Umaña
11	,
12	envió
13	al
14	campo
15	a
16	jugadores
17	de
18	experiencia
19	como
20	Carlos
21	Castro
22	y
23	Andrés
24	Pérez
25	,
26	quienes
27	fueron
28	fundamentales
29	en
30	el
31	ataque
32	de
33	Millonarios
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	4	case
2	el	DET	4	det
3	segundo	ADJ	4	amod
4	tiempo	NOUN	12	obl
5	el	DET	6	det
6	técnico	NOUN	12	nsubj
7	local	ADJ	6	amod
8	,	PUNCT	9	punct
9	Diego	PROPN	6	appos
10	Umaña	PROPN	9	flat
11	,	PUNCT	9	punct
12	envió	VERB	0	root
13	al	ADP	14	case
14	campo	NOUN	12	obl
15	a	ADP	16	case
16	jugadores	NOUN	12	obj
17	de	ADP	18	case
18	experiencia	NOUN	16	nmod
19	como	SCONJ	20	mark
20	Carlos	PROPN	16	nmod
21	Castro	PROPN	20	flat
22	y	CCONJ	23	cc
23	Andrés	PROPN	20	conj
24	Pérez	PROPN	23	flat
25	,	PUNCT	28	punct
26	quienes	PRON	28	nsubj
27	fueron	AUX	28	cop
28	fundamentales	ADJ	20	acl
29	en	ADP	31	case
30	el	DET	31	det
31	ataque	NOUN	28	obl
32	de	ADP	33	case
33	Millonarios	PROPN	31	nmod
34	.	PUNCT	12	punct